Join us and help shape the future of AI by defining the narrative around document understanding.
The Infra team at LlamaIndex owns the foundations that our product is built upon as well as many of the tools that enable engineers to develop, ship, and observe their code. We are responsible for designing, building, and scaling core infrastructure that powers a high-volume data platform for AI applications. We are looking for team members who love building enabling systems that empower our engineers and power our rapidly growing product.
We’re looking for folks with experience managing cloud infrastructure, working through various stages of scale, and helping the broader Engineering team be more effective and productive. Some traits that are important to our company culture: customer-obsessed, collaborative, hard-working, and optimistic. And we’re looking for owners, so we hope you’ll help us expand this list.
Collaborate with other engineering teams to build and maintain foundational systems that empower developers and support the company's rapid growth.
Design and implement scalable infrastructure solutions for various deployment models, including SaaS, single-tenant, and private deployments.
Manage and optimize cloud resources and Kubernetes clusters for cost-effectiveness and performance.
Enable external customer deployment success through maintaining clear infrastructure boundaries and principles.
Optimize and improve the release and deployment processes to enhance efficiency and reliability.
Ensure compliance with relevant regulations and implement robust security measures across different deployment environments.
Build and operate infrastructure for production LLM applications, including model integrations, inference workloads, evaluation pipelines, observability, and the reliable execution of agentic workflows.
8+ years of engineering experience.
Worked on Platform or Infrastructure teams on significant projects involving infrastructure components (Terraform/CDKTF, Kubernetes, Helm, test infrastructure, release management, observability, etc.)
Experience in optimizing cloud resource utilization.
Proficient in tuning Kubernetes clusters and cloud resources for cost and performance efficiency.
Willing to build LlamaIndex’s engineering culture as we grow.
You can balance speed and pragmatism and build the appropriate solutions for each stage of the company’s growth.
Hands-on proficiency with modern LLM tooling and production AI systems, including experience with model APIs, agent or RAG frameworks, evaluation and tracing tools, and the operational characteristics of LLM workloads.
Experience building out infrastructure from the ground up at a fast-growing startup.
Experience with observability tools like Prometheus, Grafana, and New Relic.
Experience with GitOps tools like ArgoCD and Flux for continuous deployment.
Experience with security compliance and audits in cloud environments such as SOC2.
Familiar with Python, Postgres, multi-cloud deployments
We offer a hybrid-friendly culture based out of our downtown San Francisco office.
Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.
Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.
Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.
Competitive base salary and equity compensation
Comprehensive medical/dental/vision coverage for you and your family
Unlimited paid time off policy
Daily catered lunch and snacks in the San Francisco office
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nThe Infra team at LlamaIndex owns the foundations that our product is built upon as well as many of the tools that enable engineers to develop, ship, and observe their code. We are responsible for designing, building, and scaling core infrastructure that powers a high-volume data platform for AI applications. We are looking for team members who love building enabling systems that empower our engineers and power our rapidly growing product.\n\n\n\nWe’re looking for folks with experience managing cloud infrastructure, working through various stages of scale, and helping the broader Engineering team be more effective and productive. Some traits that are important to our company culture: customer-obsessed, collaborative, hard-working, and optimistic. And we’re looking for owners, so we hope you’ll help us expand this list.\n\n\n\n\nRESPONSIBILITIES\n\n - Collaborate with other engineering teams to build and maintain foundational systems that empower developers and support the company's rapid growth.\n\n - Design and implement scalable infrastructure solutions for various deployment models, including SaaS, single-tenant, and private deployments.\n\n - Manage and optimize cloud resources and Kubernetes clusters for cost-effectiveness and performance.\n\n - Enable external customer deployment success through maintaining clear infrastructure boundaries and principles.\n\n - Optimize and improve the release and deployment processes to enhance efficiency and reliability.\n\n - Ensure compliance with relevant regulations and implement robust security measures across different deployment environments.\n\n - Build and operate infrastructure for production LLM applications, including model integrations, inference workloads, evaluation pipelines, observability, and the reliable execution of agentic workflows.\n\n\nQUALIFICATIONS\n\n - 8+ years of engineering experience.\n\n - Worked on Platform or Infrastructure teams on significant projects involving infrastructure components (Terraform/CDKTF, Kubernetes, Helm, test infrastructure, release management, observability, etc.)\n\n - Experience in optimizing cloud resource utilization. \n\n - Proficient in tuning Kubernetes clusters and cloud resources for cost and performance efficiency.\n\n - Willing to build LlamaIndex’s engineering culture as we grow.\n\n - You can balance speed and pragmatism and build the appropriate solutions for each stage of the company’s growth.\n\n - Hands-on proficiency with modern LLM tooling and production AI systems, including experience with model APIs, agent or RAG frameworks, evaluation and tracing tools, and the operational characteristics of LLM workloads.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience building out infrastructure from the ground up at a fast-growing startup.\n\n - Experience with observability tools like Prometheus, Grafana, and New Relic.\n\n - Experience with GitOps tools like ArgoCD and Flux for continuous deployment.\n\n - Experience with security compliance and audits in cloud environments such as SOC2.\n\n - Familiar with Python, Postgres, multi-cloud deployments\n\n\nLOCATION\n\nWe offer a hybrid-friendly culture based out of our downtown San Francisco office. \n\n\n\n\nWHY JOIN US?\n\n - Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.\n\n - Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.\n\n - Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.\n\n\n\n\nADDITIONAL BENEFITS\n\n - Competitive base salary and equity compensation\n\n - Comprehensive medical/dental/vision coverage for you and your family\n\n - Unlimited paid time off policy\n\n - Daily catered lunch and snacks in the San Francisco office\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"927fc367-c22b-47aa-817d-e1f4810149a7","title":"Enterprise Account Executive - EMEA","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London, UK","secondaryLocations":[],"publishedAt":"2026-03-25T23:36:43.722+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/927fc367-c22b-47aa-817d-e1f4810149a7","applyUrl":"https://jobs.ashbyhq.com/llamaindex/927fc367-c22b-47aa-817d-e1f4810149a7/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
We are seeking an Enterprise Account Executive to drive new customer acquisition and revenue growth. In this role, you will own the full enterprise sales cycle—sourcing, engaging, and closing deals with global enterprises adopting our AI platform. You will partner with technical teams internally and externally, navigating complex organizations and ensuring our solutions align with customer priorities.
Source, develop, and close new enterprise logo accounts.
Build and manage executive-level relationships, including champions and decision-makers.
Lead discovery, value-driven sales cycles, and enterprise negotiations.
Collaborate with Forward Deployed Engineers and product specialists to run tight POCs based on success criteria.
Prioritize and advance opportunities effectively from lead to close to drive repeatable bookings.
Consistently achieve or exceed ARR and pipeline targets.
Provide structured customer feedback to influence product roadmap and go-to-market strategy.
Represent LlamaIndex at industry events, conferences, and customer workshops.
5+ years of closing experience in enterprise SaaS sales with a top-performer track record.
Proven ability to sell into complex organizations and navigate multi-threaded deals.
Demonstrated success in net-new logo acquisition and expansion (land-and-expand motion).
Experience selling technical SaaS platforms (AI, developer tools, OSS, or infrastructure strongly preferred).
Fluency in value-based selling, MEDDIC, Challenger, or similar methodologies.
Ability to collaborate across functions (SEs, FDEs, Product, Leadership) to close strategic deals.
Strong executive presence and comfort selling to VP- and C-level stakeholders.
Startup experience: Success operating in <100 employee companies, ideally as one of the first 10 sales hires, thriving in ambiguous and resource-constrained environments.
Experience selling AI/ML, document intelligence, data infrastructure, or orchestration products.
Familiarity with developer-first sales cycles and technical POCs.
Track record of multi-year, high-ACV enterprise deals.
Knowledge of APIs, integrations, security, and compliance in enterprise SaaS.
Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.
Collaborative Team: Join a team of experts driving the future of AI.
Strong AI Brand: Leverage one of the largest open-source AI frameworks and communities, giving us brand recognition in the AI space greater than nearly any company our size.
Growth Opportunities: Build your career as we scale at the frontier of enterprise AI.
Hybrid in London, England, UK.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking an Enterprise Account Executive to drive new customer acquisition and revenue growth. In this role, you will own the full enterprise sales cycle—sourcing, engaging, and closing deals with global enterprises adopting our AI platform. You will partner with technical teams internally and externally, navigating complex organizations and ensuring our solutions align with customer priorities.\n\n\n\n\nRESPONSIBILITIES\n\n - Source, develop, and close new enterprise logo accounts.\n\n - Build and manage executive-level relationships, including champions and decision-makers.\n\n - Lead discovery, value-driven sales cycles, and enterprise negotiations.\n\n - Collaborate with Forward Deployed Engineers and product specialists to run tight POCs based on success criteria.\n\n - Prioritize and advance opportunities effectively from lead to close to drive repeatable bookings.\n\n - Consistently achieve or exceed ARR and pipeline targets.\n\n - Provide structured customer feedback to influence product roadmap and go-to-market strategy.\n\n - Represent LlamaIndex at industry events, conferences, and customer workshops.\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n - 5+ years of closing experience in enterprise SaaS sales with a top-performer track record.\n\n - Proven ability to sell into complex organizations and navigate multi-threaded deals.\n\n - Demonstrated success in net-new logo acquisition and expansion (land-and-expand motion).\n\n - Experience selling technical SaaS platforms (AI, developer tools, OSS, or infrastructure strongly preferred).\n\n - Fluency in value-based selling, MEDDIC, Challenger, or similar methodologies.\n\n - Ability to collaborate across functions (SEs, FDEs, Product, Leadership) to close strategic deals.\n\n - Strong executive presence and comfort selling to VP- and C-level stakeholders.\n\n - Startup experience: Success operating in <100 employee companies, ideally as one of the first 10 sales hires, thriving in ambiguous and resource-constrained environments.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience selling AI/ML, document intelligence, data infrastructure, or orchestration products.\n\n - Familiarity with developer-first sales cycles and technical POCs.\n\n - Track record of multi-year, high-ACV enterprise deals.\n\n - Knowledge of APIs, integrations, security, and compliance in enterprise SaaS.\n\n\n\n\nWHY JOIN US?\n\n - Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.\n\n - Collaborative Team: Join a team of experts driving the future of AI.\n\n - Strong AI Brand: Leverage one of the largest open-source AI frameworks and communities, giving us brand recognition in the AI space greater than nearly any company our size.\n\n - Growth Opportunities: Build your career as we scale at the frontier of enterprise AI.\n\n\n\n\nLOCATION\n\nHybrid in London, England, UK.\n\n\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"b0a0e9d0-9826-46c5-b3a6-8ef3feb9cd9d","title":"Developer Evangelist, Technical Content","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-21T17:33:29.414+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/b0a0e9d0-9826-46c5-b3a6-8ef3feb9cd9d","applyUrl":"https://jobs.ashbyhq.com/llamaindex/b0a0e9d0-9826-46c5-b3a6-8ef3feb9cd9d/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
LlamaIndex builds LlamaParse, the world's best agentic OCR and document parsing engine for AI applications. Enterprises and developers use LlamaParse to turn their hardest documents, including dense PDFs, scanned files, tables, and forms, into clean structured data their AI systems can actually use, at a scale of millions of pages a day. Document ingestion is one of the most underestimated problems in AI, and LlamaParse is how teams solve it.
We're looking for a Developer Advocate to be the public face of LlamaParse, out in the world in front of real developers and real teams, showing what the product can do.
This is a role for someone who does their best work in person and on camera. You'll spend your time at events, running demos, and posting on social media, and you'll evangelize the product by showing it in action: real documents going in, real structured data coming out. The most convincing thing you can do is share concrete, lived experience that makes developers want to try LlamaParse themselves.
We see this as an open-level role. We care far more about how compelling you are in a room and how well you can demo a product than about years on a résumé.
Get out into the world. Represent LlamaParse at conferences, meetups, hackathons, and workshops by speaking, demoing live, and meeting developers and teams face to face. This is the core of the job.
Evangelize the product through real experiences. Walk through actual document-parsing problems, show LlamaParse handling messy real-world files, and tell the stories of how teams use it in production.
Be highly active and visible on social media, including X, LinkedIn, and YouTube. Post demos, before-and-after parsing examples, launch content, and threads that show developers what LlamaParse does.
Create technical content across formats, including video walkthroughs, livestreams, blog posts, and conference talks, all centered on LlamaParse and the document-ingestion problem.
Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.
Partner with product and engineering on LlamaParse launches so every release lands with content and demos that drive adoption.
Stay close enough to the developer community to answer questions and bring feedback back to the team. This is a steady part of the role, though the focus of the job is being out evangelizing.
A natural evangelist. You like being on stage, on camera, and in the room, and you can make a technical product genuinely interesting to watch.
Strong, consistent presence on social media, with a track record of technical content developers find useful.
Real enthusiasm for events, including speaking, live demos, and travel, and a knack for being approachable and memorable in person.
Enough technical depth to build with LlamaParse and write working code in Python and/or TypeScript, so your demos are real and your credibility is earned.
Clear technical communication. You can explain document parsing and structured extraction to a beginner and to a senior engineer.
Working knowledge of the AI application landscape, including LLMs, RAG, OCR, and document pipelines.
Based in or willing to be in the San Francisco Bay Area for a hybrid schedule, with real willingness to travel for events.
Existing audience or reputation in the AI or developer community.
Experience speaking at or organizing developer conferences and hackathons.
Video production or livestreaming skills.
Hands-on experience with document-heavy AI use cases.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT LLAMAINDEX\n\nLlamaIndex builds LlamaParse, the world's best agentic OCR and document parsing engine for AI applications. Enterprises and developers use LlamaParse to turn their hardest documents, including dense PDFs, scanned files, tables, and forms, into clean structured data their AI systems can actually use, at a scale of millions of pages a day. Document ingestion is one of the most underestimated problems in AI, and LlamaParse is how teams solve it.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Developer Advocate to be the public face of LlamaParse, out in the world in front of real developers and real teams, showing what the product can do.\n\nThis is a role for someone who does their best work in person and on camera. You'll spend your time at events, running demos, and posting on social media, and you'll evangelize the product by showing it in action: real documents going in, real structured data coming out. The most convincing thing you can do is share concrete, lived experience that makes developers want to try LlamaParse themselves.\n\nWe see this as an open-level role. We care far more about how compelling you are in a room and how well you can demo a product than about years on a résumé.\n\n\n\n\nWHAT YOU'LL DO\n\n - Get out into the world. Represent LlamaParse at conferences, meetups, hackathons, and workshops by speaking, demoing live, and meeting developers and teams face to face. This is the core of the job.\n\n - Evangelize the product through real experiences. Walk through actual document-parsing problems, show LlamaParse handling messy real-world files, and tell the stories of how teams use it in production.\n\n - Be highly active and visible on social media, including X, LinkedIn, and YouTube. Post demos, before-and-after parsing examples, launch content, and threads that show developers what LlamaParse does.\n\n - Create technical content across formats, including video walkthroughs, livestreams, blog posts, and conference talks, all centered on LlamaParse and the document-ingestion problem.\n\n - Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.\n\n - Partner with product and engineering on LlamaParse launches so every release lands with content and demos that drive adoption.\n\n - Stay close enough to the developer community to answer questions and bring feedback back to the team. This is a steady part of the role, though the focus of the job is being out evangelizing.\n\n\nWHAT WE'RE LOOKING FOR\n\n - A natural evangelist. You like being on stage, on camera, and in the room, and you can make a technical product genuinely interesting to watch.\n\n - Strong, consistent presence on social media, with a track record of technical content developers find useful.\n\n - Real enthusiasm for events, including speaking, live demos, and travel, and a knack for being approachable and memorable in person.\n\n - Enough technical depth to build with LlamaParse and write working code in Python and/or TypeScript, so your demos are real and your credibility is earned.\n\n - Clear technical communication. You can explain document parsing and structured extraction to a beginner and to a senior engineer.\n\n - Working knowledge of the AI application landscape, including LLMs, RAG, OCR, and document pipelines.\n\n - Based in or willing to be in the San Francisco Bay Area for a hybrid schedule, with real willingness to travel for events.\n\n\nNICE TO HAVE\n\n - Existing audience or reputation in the AI or developer community.\n\n - Experience speaking at or organizing developer conferences and hackathons.\n\n - Video production or livestreaming skills.\n\n - Hands-on experience with document-heavy AI use cases.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"ee009847-6f1d-42f5-ab9f-805072f7a3e9","title":"Developer Evangelist, Growth","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-21T17:59:34.742+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/ee009847-6f1d-42f5-ab9f-805072f7a3e9","applyUrl":"https://jobs.ashbyhq.com/llamaindex/ee009847-6f1d-42f5-ab9f-805072f7a3e9/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
LlamaIndex builds LlamaParse, the world's best agentic OCR and document parsing engine for AI applications. Enterprises and developers use LlamaParse to turn their hardest documents, including dense PDFs, scanned files, tables, and forms, into clean structured data their AI systems can actually use, at a scale of millions of pages a day. Document ingestion is one of the most underestimated problems in AI, and LlamaParse is how teams solve it.
We're looking for a Developer Advocate to be the public face of LlamaParse, out in the world in front of real developers and real teams, showing what the product can do.
This is a role for someone who does their best work in person and on camera. You'll spend your time at events, running demos, and posting on social media, and you'll evangelize the product by showing it in action: real documents going in, real structured data coming out. The most convincing thing you can do is share concrete, lived experience that makes developers want to try LlamaParse themselves.
We see this as an open-level role. We care far more about how compelling you are in a room and how well you can demo a product than about years on a résumé.
Get out into the world. Represent LlamaParse at conferences, meetups, hackathons, and workshops by speaking, demoing live, and meeting developers and teams face to face. This is the core of the job.
Evangelize the product through real experiences. Walk through actual document-parsing problems, show LlamaParse handling messy real-world files, and tell the stories of how teams use it in production.
Be highly active and visible on social media, including X, LinkedIn, and YouTube. Post demos, before-and-after parsing examples, launch content, and threads that show developers what LlamaParse does.
Create technical content across formats, including video walkthroughs, livestreams, blog posts, and conference talks, all centered on LlamaParse and the document-ingestion problem.
Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.
Partner with product and engineering on LlamaParse launches so every release lands with content and demos that drive adoption.
Stay close enough to the developer community to answer questions and bring feedback back to the team. This is a steady part of the role, though the focus of the job is being out evangelizing.
A natural evangelist. You like being on stage, on camera, and in the room, and you can make a technical product genuinely interesting to watch.
Strong, consistent presence on social media, with a track record of technical content developers find useful.
Real enthusiasm for events, including speaking, live demos, and travel, and a knack for being approachable and memorable in person.
Enough technical depth to build with LlamaParse and write working code in Python and/or TypeScript, so your demos are real and your credibility is earned.
Clear technical communication. You can explain document parsing and structured extraction to a beginner and to a senior engineer.
Working knowledge of the AI application landscape, including LLMs, RAG, OCR, and document pipelines.
Based in or willing to be in the San Francisco Bay Area for a hybrid schedule, with real willingness to travel for events.
Existing audience or reputation in the AI or developer community.
Experience speaking at or organizing developer conferences and hackathons.
Video production or livestreaming skills.
Hands-on experience with document-heavy AI use cases.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT LLAMAINDEX\n\nLlamaIndex builds LlamaParse, the world's best agentic OCR and document parsing engine for AI applications. Enterprises and developers use LlamaParse to turn their hardest documents, including dense PDFs, scanned files, tables, and forms, into clean structured data their AI systems can actually use, at a scale of millions of pages a day. Document ingestion is one of the most underestimated problems in AI, and LlamaParse is how teams solve it.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Developer Advocate to be the public face of LlamaParse, out in the world in front of real developers and real teams, showing what the product can do.\n\nThis is a role for someone who does their best work in person and on camera. You'll spend your time at events, running demos, and posting on social media, and you'll evangelize the product by showing it in action: real documents going in, real structured data coming out. The most convincing thing you can do is share concrete, lived experience that makes developers want to try LlamaParse themselves.\n\nWe see this as an open-level role. We care far more about how compelling you are in a room and how well you can demo a product than about years on a résumé.\n\n\n\n\nWHAT YOU'LL DO\n\n - Get out into the world. Represent LlamaParse at conferences, meetups, hackathons, and workshops by speaking, demoing live, and meeting developers and teams face to face. This is the core of the job.\n\n - Evangelize the product through real experiences. Walk through actual document-parsing problems, show LlamaParse handling messy real-world files, and tell the stories of how teams use it in production.\n\n - Be highly active and visible on social media, including X, LinkedIn, and YouTube. Post demos, before-and-after parsing examples, launch content, and threads that show developers what LlamaParse does.\n\n - Create technical content across formats, including video walkthroughs, livestreams, blog posts, and conference talks, all centered on LlamaParse and the document-ingestion problem.\n\n - Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.\n\n - Partner with product and engineering on LlamaParse launches so every release lands with content and demos that drive adoption.\n\n - Stay close enough to the developer community to answer questions and bring feedback back to the team. This is a steady part of the role, though the focus of the job is being out evangelizing.\n\n\nWHAT WE'RE LOOKING FOR\n\n - A natural evangelist. You like being on stage, on camera, and in the room, and you can make a technical product genuinely interesting to watch.\n\n - Strong, consistent presence on social media, with a track record of technical content developers find useful.\n\n - Real enthusiasm for events, including speaking, live demos, and travel, and a knack for being approachable and memorable in person.\n\n - Enough technical depth to build with LlamaParse and write working code in Python and/or TypeScript, so your demos are real and your credibility is earned.\n\n - Clear technical communication. You can explain document parsing and structured extraction to a beginner and to a senior engineer.\n\n - Working knowledge of the AI application landscape, including LLMs, RAG, OCR, and document pipelines.\n\n - Based in or willing to be in the San Francisco Bay Area for a hybrid schedule, with real willingness to travel for events.\n\n\nNICE TO HAVE\n\n - Existing audience or reputation in the AI or developer community.\n\n - Experience speaking at or organizing developer conferences and hackathons.\n\n - Video production or livestreaming skills.\n\n - Hands-on experience with document-heavy AI use cases.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"0b618d29-e04c-44d9-a2d4-d403e6e88ce8","title":"Don’t See Your Role?","department":"General","team":"General","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-08T19:49:37.747+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/0b618d29-e04c-44d9-a2d4-d403e6e88ce8","applyUrl":"https://jobs.ashbyhq.com/llamaindex/0b618d29-e04c-44d9-a2d4-d403e6e88ce8/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
Don’t see a role that feels like the right fit? We’d still love to hear from you. Submit your application here, and we’ll keep you in mind as new opportunities open up!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\nDon’t see a role that feels like the right fit? We’d still love to hear from you. Submit your application here, and we’ll keep you in mind as new opportunities open up! \n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"5ef32675-090d-4eb2-bca0-ddb6fbde0215","title":"Member of Technical Staff, Applied Research","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-08T01:11:47.282+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/5ef32675-090d-4eb2-bca0-ddb6fbde0215","applyUrl":"https://jobs.ashbyhq.com/llamaindex/5ef32675-090d-4eb2-bca0-ddb6fbde0215/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
We are looking for an AI Research Engineer to join our document understanding team.
This role is ideal for someone who sits between applied research and strong engineering. You will work on vision-language models, document processing, data curation, synthetic data generation, benchmarking, training, fine-tuning, and post-training. The goal is simple: make our document AI systems more accurate, faster, and more cost-effective in production.
You should be excited by frontier AI work, but equally motivated by practical product impact. This is not a pure research role where ideas stay in papers. You will be expected to prototype quickly, evaluate rigorously, and help turn promising approaches into production systems used by customers.
Develop and train vision-language models for document processing and document understanding.
Build data pipelines for data curation, synthetic data generation, labeling, and benchmark creation.
Evaluate base models and perform post-training or fine-tuning to hit specific performance targets.
Improve model accuracy, latency, and cost-effectiveness across real-world document workflows.
Design and maintain benchmarks to measure extraction quality, layout understanding, OCR performance, reasoning accuracy, and end-to-end system reliability.
Work with messy real-world documents, including PDFs, scanned documents, tables, charts, forms, and multi-page enterprise documents.
Collaborate with engineering to move successful research prototypes into production.
Work directly with customers when needed to translate product requirements into benchmarks, experiments, and model improvements.
Stay close to the latest research in vision-language models, document AI, post-training, synthetic data, and agentic systems.
Use modern AI coding workflows and tools to move quickly.
3–7 years of experience in machine learning engineering, applied research, or research engineering.
Strong ML foundation, including hands-on experience benchmarking and training models.
Strong Python skills and comfort with modern ML tooling, especially PyTorch.
Experience with computer vision, vision-language models, NLP, document AI, OCR, extraction, or agentic AI systems.
Ability to build experiments, evaluate results, and iterate quickly toward measurable performance improvements.
Strong engineering judgment and ability to write clean, production-quality code.
Comfort working in a fast-paced startup environment with high ownership and limited structure.
Adaptable, scrappy, and self-directed — someone who can figure things out without waiting to be told.
Strong technical writing and communication skills.
Prior startup experience, especially at an early-stage or high-growth AI company.
Experience as a founder or early startup engineer.
Experience building or improving document processing systems.
Experience with synthetic data generation, post-training, fine-tuning, or benchmark design.
Familiarity with tools such as vLLM, Pydantic, uv, ruff, mypy, Claude Code, Cursor, or similar modern AI engineering workflows.
Experience with open-source AI infrastructure or developer tools.
You will work closely with the CTO and the document understanding team, partnering across research, engineering, product, and customer-facing teams.
Work on a core AI infrastructure problem: making complex documents understandable and actionable for AI systems.
Build production systems at the frontier of vision-language models and document AI.
Join a fast-growing startup with strong open-source adoption and commercial traction.
Work directly with technical founders and a highly ambitious engineering team.
Have real ownership over model quality, product capability, and technical direction.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for an AI Research Engineer to join our document understanding team.\n\nThis role is ideal for someone who sits between applied research and strong engineering. You will work on vision-language models, document processing, data curation, synthetic data generation, benchmarking, training, fine-tuning, and post-training. The goal is simple: make our document AI systems more accurate, faster, and more cost-effective in production.\n\nYou should be excited by frontier AI work, but equally motivated by practical product impact. This is not a pure research role where ideas stay in papers. You will be expected to prototype quickly, evaluate rigorously, and help turn promising approaches into production systems used by customers.\n\n\n\n\nWHAT YOU’LL DO\n\n - Develop and train vision-language models for document processing and document understanding.\n\n - Build data pipelines for data curation, synthetic data generation, labeling, and benchmark creation.\n\n - Evaluate base models and perform post-training or fine-tuning to hit specific performance targets.\n\n - Improve model accuracy, latency, and cost-effectiveness across real-world document workflows.\n\n - Design and maintain benchmarks to measure extraction quality, layout understanding, OCR performance, reasoning accuracy, and end-to-end system reliability.\n\n - Work with messy real-world documents, including PDFs, scanned documents, tables, charts, forms, and multi-page enterprise documents.\n\n - Collaborate with engineering to move successful research prototypes into production.\n\n - Work directly with customers when needed to translate product requirements into benchmarks, experiments, and model improvements.\n\n - Stay close to the latest research in vision-language models, document AI, post-training, synthetic data, and agentic systems.\n\n - Use modern AI coding workflows and tools to move quickly.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - 3–7 years of experience in machine learning engineering, applied research, or research engineering.\n\n - Strong ML foundation, including hands-on experience benchmarking and training models.\n\n - Strong Python skills and comfort with modern ML tooling, especially PyTorch.\n\n - Experience with computer vision, vision-language models, NLP, document AI, OCR, extraction, or agentic AI systems.\n\n - Ability to build experiments, evaluate results, and iterate quickly toward measurable performance improvements.\n\n - Strong engineering judgment and ability to write clean, production-quality code.\n\n - Comfort working in a fast-paced startup environment with high ownership and limited structure.\n\n - Adaptable, scrappy, and self-directed — someone who can figure things out without waiting to be told.\n\n - Strong technical writing and communication skills.\n\n\n\n\nNICE TO HAVE\n\n - Prior startup experience, especially at an early-stage or high-growth AI company.\n\n - Experience as a founder or early startup engineer.\n\n - Experience building or improving document processing systems.\n\n - Experience with synthetic data generation, post-training, fine-tuning, or benchmark design.\n\n - Familiarity with tools such as vLLM, Pydantic, uv, ruff, mypy, Claude Code, Cursor, or similar modern AI engineering workflows.\n\n - Experience with open-source AI infrastructure or developer tools.\n\n\n\n\nWHO YOU’LL WORK WITH\n\nYou will work closely with the CTO and the document understanding team, partnering across research, engineering, product, and customer-facing teams.\n\n\n\n\nWHY JOIN LLAMAINDEX\n\n - Work on a core AI infrastructure problem: making complex documents understandable and actionable for AI systems.\n\n - Build production systems at the frontier of vision-language models and document AI.\n\n - Join a fast-growing startup with strong open-source adoption and commercial traction.\n\n - Work directly with technical founders and a highly ambitious engineering team.\n\n - Have real ownership over model quality, product capability, and technical direction.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"0492125b-7a1a-4b60-a8c9-feda326ff8a4","title":"Enterprise Account Executive - Digital Native","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-21T00:09:20.481+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/0492125b-7a1a-4b60-a8c9-feda326ff8a4","applyUrl":"https://jobs.ashbyhq.com/llamaindex/0492125b-7a1a-4b60-a8c9-feda326ff8a4/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
LlamaIndex is hiring an Enterprise Account Executive to own strategic sales into high-growth, AI-native software companies. This is a multi-motion role. You'll run targeted top-down outbound into executive and technical buyers, build bottoms-up momentum with technical ICs and engineering teams already touching our product through self-serve usage, and convert consumption signals into qualified pipeline. You'll land a first use case, prove value through a focused technical evaluation, and expand the account from there.
Run full-cycle enterprise sales into high-growth, AI-native software companies, from first outbound touch through close and expansion.
Build and execute targeted top-down outbound campaigns into executive and technical buyers at target accounts.
Identify and develop bottoms-up champions among technical ICs, engineers, and platform teams already using our product or open-source framework.
Turn product-usage and technical signals into qualified pipeline and expansion, rather than waiting on inbound alone.
Own technical, multi-call sales cycles with engineering and platform teams, often involving a proof of concept.
Partner credibly with technical buyers on build-versus-buy questions and scope evaluations that prove real value quickly.
Land a first use case and grow the account over time. Think in terms of expansion, not one-and-done deals.
Maintain accurate CRM hygiene and deliver reliable weekly forecast calls.
Use AI tools to speed up account research, prospecting, and deal preparation.
4+ years of full-cycle enterprise SaaS sales experience with a track record of quota attainment.
Demonstrated ability to run both outbound-generated and product-led pipeline, not solely dependent on inbound.
Experience selling to technical buyers, including engineers, platform teams, and AI/ML leaders, alongside executive economic buyers.
Experience running technical evaluations or proofs of concept and navigating build-versus-buy conversations.
Comfortable operating with minimal process in a fast-moving, early-category environment.
Strong written and verbal communication. Able to explain complex technical products and deal strategy clearly.
AI-first operator: actively uses AI tools for account research, deal prep, outreach, and pipeline management.
Experience selling AI/ML, developer tools, data infrastructure, or OSS-adjacent products.
Experience in a consumption-based or usage-based pricing motion.
Track record of landing net-new logos and expanding initial contracts into larger account relationships.
Prior experience at a company with an open-source or community-led growth motion.
Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.
Strong AI Brand: Sell backed by one of the largest open-source AI frameworks and communities, giving us reach beyond most companies our size.
Multiple Ways In: Work accounts top-down, bottoms-up, and through product usage, not a single fixed motion.
Growth Opportunities: Get in early on a high-growth enterprise motion with room to grow as we scale.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nLlamaIndex is hiring an Enterprise Account Executive to own strategic sales into high-growth, AI-native software companies. This is a multi-motion role. You'll run targeted top-down outbound into executive and technical buyers, build bottoms-up momentum with technical ICs and engineering teams already touching our product through self-serve usage, and convert consumption signals into qualified pipeline. You'll land a first use case, prove value through a focused technical evaluation, and expand the account from there.\n\n\n\n\nRESPONSIBILITIES\n\n - Run full-cycle enterprise sales into high-growth, AI-native software companies, from first outbound touch through close and expansion.\n\n - Build and execute targeted top-down outbound campaigns into executive and technical buyers at target accounts.\n\n - Identify and develop bottoms-up champions among technical ICs, engineers, and platform teams already using our product or open-source framework.\n\n - Turn product-usage and technical signals into qualified pipeline and expansion, rather than waiting on inbound alone.\n\n - Own technical, multi-call sales cycles with engineering and platform teams, often involving a proof of concept.\n\n - Partner credibly with technical buyers on build-versus-buy questions and scope evaluations that prove real value quickly.\n\n - Land a first use case and grow the account over time. Think in terms of expansion, not one-and-done deals.\n\n - Maintain accurate CRM hygiene and deliver reliable weekly forecast calls.\n\n - Use AI tools to speed up account research, prospecting, and deal preparation.\n\n\nREQUIRED QUALIFICATIONS\n\n - 4+ years of full-cycle enterprise SaaS sales experience with a track record of quota attainment.\n\n - Demonstrated ability to run both outbound-generated and product-led pipeline, not solely dependent on inbound.\n\n - Experience selling to technical buyers, including engineers, platform teams, and AI/ML leaders, alongside executive economic buyers.\n\n - Experience running technical evaluations or proofs of concept and navigating build-versus-buy conversations.\n\n - Comfortable operating with minimal process in a fast-moving, early-category environment.\n\n - Strong written and verbal communication. Able to explain complex technical products and deal strategy clearly.\n\n - AI-first operator: actively uses AI tools for account research, deal prep, outreach, and pipeline management.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience selling AI/ML, developer tools, data infrastructure, or OSS-adjacent products.\n\n - Experience in a consumption-based or usage-based pricing motion.\n\n - Track record of landing net-new logos and expanding initial contracts into larger account relationships.\n\n - Prior experience at a company with an open-source or community-led growth motion.\n\n\nWHY JOIN US?\n\n - Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.\n\n - Strong AI Brand: Sell backed by one of the largest open-source AI frameworks and communities, giving us reach beyond most companies our size.\n\n - Multiple Ways In: Work accounts top-down, bottoms-up, and through product usage, not a single fixed motion.\n\n - Growth Opportunities: Get in early on a high-growth enterprise motion with room to grow as we scale.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"0f8bdc04-5d1d-4db1-a888-3f367cb4469e","title":"Head of Engineering","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-10-08T23:26:16.411+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/0f8bdc04-5d1d-4db1-a888-3f367cb4469e","applyUrl":"https://jobs.ashbyhq.com/llamaindex/0f8bdc04-5d1d-4db1-a888-3f367cb4469e/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
LlamaIndex is hiring a Head of Engineering to lead and develop our engineering team as we build software that makes enterprise data useful for AI applications.
You will own engineering execution, technical direction, hiring, and team development. You will work closely with company leadership and product teams to decide what we build, how we build it, and how we deliver it reliably to customers.
This is a hands-on role. You should be comfortable reviewing code and architecture, debugging production issues, and writing code for critical systems. We are looking for someone who has shipped and operated B2B API products and understands both model serving and model training—from experimentation and evaluation to deployment and production operations.
Lead and develop our engineering team, setting clear priorities, ownership, and accountability.
Partner with company leadership to translate customer needs into a focused roadmap and deliver software predictably.
Stay directly involved in architecture, code reviews, production debugging, and implementation of critical changes.
Set technical direction across application services, APIs, data pipelines, and ML infrastructure, balancing immediate customer needs with long-term maintainability.
Work with ML engineers and researchers on model training, fine-tuning, evaluation, and deployment, ensuring model improvements translate into better production outcomes.
Guide model serving decisions across latency, throughput, GPU utilization, capacity, reliability, and inference cost.
Improve engineering practices for testing, observability, security, incident response, and releases.
Hire strong engineers, coach technical leaders and managers, and build a culture of direct communication, customer focus, and responsibility for results.
Experience leading engineering teams in B2B SaaS, with responsibility for delivering and operating customer-facing products.
Experience leading multiple engineering teams or technical domains with complexity comparable to a 20–30-person organization.
Strong, current hands-on engineering skills: you can read and write production code, review architecture, and diagnose complex technical problems.
Practical familiarity with model serving and model training, including training or fine-tuning workflows, evaluation, deployment, and production operations.
Understanding of the tradeoffs between model quality, latency, throughput, GPU resources, reliability, and cost.
Strong background in backend systems, APIs, distributed systems, and cloud infrastructure.
A track record of hiring and developing engineers, setting clear expectations, and giving constructive feedback.
Good product judgment, including knowing when to move quickly and when to invest in correctness, reliability, and security.
Clear written and verbal communication with technical teams, customers, and company leadership.
Experience scaling engineering at a Series A–C startup.
Experience with document processing, OCR, extraction, retrieval, indexing, or other systems that work with enterprise data.
Experience with LLMs or multimodal models, evaluation datasets, and model quality monitoring.
Experience with GPU infrastructure, distributed training, inference optimization, or model serving frameworks.
Experience building developer tools or API-first products.
Experience with enterprise requirements such as multi-tenancy, access controls, audibility, and security reviews.
Experience developing engineering managers while staying closely involved in technical execution.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nLlamaIndex is hiring a Head of Engineering to lead and develop our engineering team as we build software that makes enterprise data useful for AI applications.\n\nYou will own engineering execution, technical direction, hiring, and team development. You will work closely with company leadership and product teams to decide what we build, how we build it, and how we deliver it reliably to customers.\n\nThis is a hands-on role. You should be comfortable reviewing code and architecture, debugging production issues, and writing code for critical systems. We are looking for someone who has shipped and operated B2B API products and understands both model serving and model training—from experimentation and evaluation to deployment and production operations.\n\n\n\n\nRESPONSIBILITIES\n\n - Lead and develop our engineering team, setting clear priorities, ownership, and accountability.\n\n - Partner with company leadership to translate customer needs into a focused roadmap and deliver software predictably.\n\n - Stay directly involved in architecture, code reviews, production debugging, and implementation of critical changes.\n\n - Set technical direction across application services, APIs, data pipelines, and ML infrastructure, balancing immediate customer needs with long-term maintainability.\n\n - Work with ML engineers and researchers on model training, fine-tuning, evaluation, and deployment, ensuring model improvements translate into better production outcomes.\n\n - Guide model serving decisions across latency, throughput, GPU utilization, capacity, reliability, and inference cost.\n\n - Improve engineering practices for testing, observability, security, incident response, and releases.\n\n - Hire strong engineers, coach technical leaders and managers, and build a culture of direct communication, customer focus, and responsibility for results.\n\n\nREQUIRED QUALIFICATIONS\n\n - Experience leading engineering teams in B2B SaaS, with responsibility for delivering and operating customer-facing products.\n\n - Experience leading multiple engineering teams or technical domains with complexity comparable to a 20–30-person organization.\n\n - Strong, current hands-on engineering skills: you can read and write production code, review architecture, and diagnose complex technical problems.\n\n - Practical familiarity with model serving and model training, including training or fine-tuning workflows, evaluation, deployment, and production operations.\n\n - Understanding of the tradeoffs between model quality, latency, throughput, GPU resources, reliability, and cost.\n\n - Strong background in backend systems, APIs, distributed systems, and cloud infrastructure.\n\n - A track record of hiring and developing engineers, setting clear expectations, and giving constructive feedback.\n\n - Good product judgment, including knowing when to move quickly and when to invest in correctness, reliability, and security.\n\n - Clear written and verbal communication with technical teams, customers, and company leadership.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience scaling engineering at a Series A–C startup.\n\n - Experience with document processing, OCR, extraction, retrieval, indexing, or other systems that work with enterprise data.\n\n - Experience with LLMs or multimodal models, evaluation datasets, and model quality monitoring.\n\n - Experience with GPU infrastructure, distributed training, inference optimization, or model serving frameworks.\n\n - Experience building developer tools or API-first products.\n\n - Experience with enterprise requirements such as multi-tenancy, access controls, audibility, and security reviews.\n\n - Experience developing engineering managers while staying closely involved in technical execution.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."}],"apiVersion":"1"}