LiteLLM is the open-source AI gateway used by developers and enterprises to access, manage, and govern LLMs through a unified interface.
Teams use LiteLLM to route requests across model providers, control spend, monitor usage, implement security policies, and reliably operate AI applications in production.
We are looking for our first Developer Relations hire to help more developers discover LiteLLM, understand what they can build with it, and successfully deploy it in production.
Why We’re HiringLiteLLM has a large and growing technical community. Developers discover the project through GitHub, documentation, search, technical content, and recommendations from other engineers.
But discovering LiteLLM is only the beginning.
Developers need to quickly understand how LiteLLM fits into their stack, see credible examples of it solving real problems, and get from their first request to a production deployment. They also need clear ways to share feedback, contribute to the project, and learn about new capabilities.
You will help us build that developer journey.
This is LiteLLM’s first dedicated Developer Relations role. You will establish how we educate developers, engage with the community, support product launches, and turn developer feedback into better documentation, examples, and product decisions.
What This Job Actually IsThis is a hands-on technical individual-contributor role.
You will spend much of your time building with LiteLLM and turning what you learn into resources that help other developers succeed. You should be equally comfortable opening a code editor, explaining an infrastructure concept, and talking with developers about where they are getting stuck.
In a typical month, you will:
Build and maintain runnable demos, sample applications, integrations, and reference architectures for real LiteLLM use cases.
Create technical guides, videos, workshops, launch demos, and deep dives that make complex capabilities understandable and immediately usable.
Engage directly with developers through GitHub, community channels, livestreams, meetups, conferences, and other technical forums.
Partner with Product and Engineering on launches so new capabilities ship with strong examples, documentation, and a clear technical story.
Identify recurring questions and points of friction, then turn them into better documentation, examples, product feedback, issues, or code contributions where appropriate.
Explore the wider AI developer ecosystem and build useful examples with the models, frameworks, tools, and platforms LiteLLM users care about.
Use developer feedback and adoption data to decide which educational resources, integrations, and community initiatives will have the greatest impact.
Represent LiteLLM publicly through technical talks, workshops, videos, podcasts, and conversations with the developer community.
This is not a traditional social-media or event-marketing role, and it is not a frontline support position.
You will help individual developers, but the goal is to turn what you learn into resources and improvements that help the entire community. You will not be measured by content volume or impressions alone. The best outcome might be a runnable example that unlocks an important use case, an explanation that becomes the canonical resource for a difficult topic, or a pattern of feedback that leads us to improve the product.
Because this is a founding role, you will also help define our Developer Relations priorities, operating cadence, and measures of success. You will shape the function while continuing to ship technical work yourself.
What You’ll OwnTechnical EducationCreate high-quality tutorials, demos, sample applications, reference architectures, videos, and technical deep dives.
Develop educational resources around the problems developers are actively trying to solve.
Explain LiteLLM capabilities such as model routing, fallbacks, cost controls, observability, authentication, guardrails, MCP, and production deployment.
Keep examples and technical content accurate as LiteLLM and the wider AI ecosystem evolve.
Improve the path from reading about a capability to successfully implementing it.
Build genuine relationships with developers using, evaluating, and contributing to LiteLLM.
Participate in GitHub discussions, community channels, technical forums, and open-source conversations.
Help developers get unstuck while identifying patterns that should become durable resources or product improvements.
Support contributors and power users and create opportunities for them to share what they have built.
Represent LiteLLM at relevant conferences, meetups, workshops, livestreams, podcasts, and community events.
Build a structured feedback loop between the developer community and LiteLLM’s Product and Engineering teams.
Identify recurring points of confusion, missing integrations, documentation gaps, and product friction.
Reproduce technical issues and distinguish between documentation, usability, and product problems.
Turn developer feedback into clear product recommendations, issues, examples, and documentation improvements.
Contribute technical fixes directly when they are within scope, while partnering with Engineering on larger product changes.
Own the developer-facing execution for major product and open-source launches.
Work with Product and Engineering to understand what is shipping, who it is for, and why it matters.
Produce the demos, sample code, tutorials, documentation, and technical explanations developers need to try new capabilities.
Ensure launches show working implementations rather than only announcing features.
Evaluate whether launches result in meaningful developer understanding and adoption.
Establish LiteLLM’s initial Developer Relations priorities and operating rhythm.
Determine where technical content, integrations, community engagement, and events can have the greatest impact.
Define practical measures of success based on developer adoption, successful implementations, community participation, and product learning.
Build repeatable systems for turning product releases and developer questions into useful technical resources.
Help define how the Developer Relations function should evolve as LiteLLM grows.
During your first 90 days, you will:
Become a hands-on LiteLLM user and develop a deep understanding of the product, codebase, documentation, and community.
Build several production-quality example applications covering LiteLLM’s most important use cases.
Audit the developer journey from initial discovery through successful production deployment.
Identify the highest-impact gaps in our documentation, examples, onboarding, and technical storytelling.
Meet developers, contributors, customers, and internal teams to understand how LiteLLM is being used and where people struggle.
Establish a repeatable process for supporting developer-facing product launches.
Ship an initial set of tutorials, demos, or integrations based on the needs you uncover.
Create a system for turning recurring community questions into documentation, examples, or product feedback.
Propose a focused Developer Relations roadmap for the following six months.
You have experience in Developer Relations, Developer Advocacy, software engineering, solutions engineering, or another highly technical developer-facing role.
You can write working software and are comfortable building examples in Python.
You can read an unfamiliar codebase, debug integrations, reproduce issues, and communicate clearly with engineers.
You are an exceptional technical communicator who can make complex infrastructure concepts understandable without oversimplifying them.
You enjoy talking with developers and are genuinely curious about how they build and operate software.
You have strong product instincts and notice where APIs, workflows, examples, or documentation create unnecessary friction.
You can create across multiple formats, including sample applications, written tutorials, technical talks, workshops, and video.
You are comfortable being a visible external representative of a technical product and open-source project.
You operate with high ownership and do not need an existing playbook to begin shipping useful work.
You care about whether your work changes developer behavior, improves implementations, and produces meaningful product learning.
You can move quickly without compromising technical accuracy.
Experience with developer infrastructure, APIs, observability, security, cloud platforms, or open-source software.
Familiarity with LLM application architecture and the challenges of operating AI systems in production.
Experience with AI model providers, gateways, agent frameworks, MCP, Kubernetes, or enterprise AI platforms.
Meaningful contributions to an open-source project.
Experience building a technical audience through writing, videos, workshops, talks, or community participation.
Experience establishing Developer Relations at an early-stage company.
Experience working with platform engineers, infrastructure teams, or enterprise developers.
An existing body of technical work you can show us, such as applications, tutorials, talks, videos, documentation, or open-source contributions.
Within six months:
Developers can understand LiteLLM’s major capabilities and reach a successful implementation faster.
LiteLLM has a growing collection of credible, production-oriented examples and reference architectures.
Major launches consistently include strong technical education, sample code, demos, and documentation.
Recurring community questions are systematically converted into durable resources or product improvements.
Product and Engineering have a clearer, evidence-based understanding of what developers need.
More developers are building publicly with LiteLLM, contributing to the project, and helping other community members.
LiteLLM has a focused Developer Relations strategy with clear priorities and practical measures of impact.
The Developer Relations function operates as a repeatable system rather than a collection of one-off activities.
Work on open-source infrastructure at the center of the rapidly evolving AI developer ecosystem.
Help developers solve real production problems involving reliability, security, cost, observability, and governance.
Work directly with the founders and engineering team.
Establish LiteLLM’s Developer Relations function from the beginning.
Shape both how developers understand LiteLLM and how the product evolves.
Move quickly and see your work used by developers around the world.
Receive competitive compensation, equity, health, dental, and vision benefits, and a 401(k) plan with company match.
Skills Required
- Experience in Developer Relations, Developer Advocacy, solutions engineering, software engineering, or another highly technical developer-facing role
- Ability to write working software and build examples in Python
- Ability to read unfamiliar codebases, debug integrations, reproduce issues, and contribute technical fixes
- Exceptional technical communication skills (write tutorials, deep dives, talks, workshops, videos)
- Experience engaging with developer communities (GitHub, forums, meetups, livestreams, conferences)
- Strong product instincts and ability to identify and reduce friction in APIs, docs, and workflows
- High ownership and ability to define DevRel priorities and operating cadence at an early-stage company
- Analytical mindset focused on developer activation, adoption metrics, and impact
- Experience with developer infrastructure, APIs, observability, security, cloud platforms, or open-source software
- Familiarity with LLM application architecture, model providers, gateways, agent frameworks, MCP, Kubernetes, or enterprise AI platforms
- Meaningful open-source contributions or a portfolio of technical content (apps, tutorials, talks, videos)
- Experience establishing Developer Relations at an early-stage company or building technical audiences
What We Do
LiteLLM is an open-source AI Gateway that provides a unified interface to access over 100 LLM providers, simplifying model access, spend tracking, and fallbacks.








