ABOUT LANGCHAIN:

At Lang Chain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.

Our open source frameworks, Lang Chain and Lang Graph, see over 90+ million downloads per month and help developers build agents with speed and granular control. Lang Smith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.

Lang Chain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.

ABOUT THE ROLE:

We’re hiring Applied AI Engineers to help us build AI agents that power every part of Lang Chain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product.

In this role you will own a problem space and work closely with that function to design, build, and deploy production-grade agents, workflows, and applications that transform how we operate. Your work will directly accelerate Lang Chain’s mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be open source, contributing to the Lang Chain and Lang Graph ecosystem and setting new standards for how companies build with AI.

If you are a fullstack software engineer who is passionate about putting AI agents into real production use cases and seeing them drive measurable business impact, this team is for you.

YOU WILL:

• Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains.

• Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes.

• Translate emerging AI research and tooling into practical, production-ready solutions.

• Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders.

• Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact.

• Contribute to the Lang Chain and Lang Graph ecosystem, including open source components, documentation, and shared tools.

HOW TO BE SUCCESSFUL:

• Experienced software engineer with a strong track record shipping AI or ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production).

• Hands-on experience implementing evaluation and monitoring systems for agents or workflows.

• Deep understanding of the components that make up an AI system: prompting, retrieval, orchestration, inference APIs, and model selection across modalities.

• Strong coding skills in Python or TypeScript (ideally both).

• Excellent communicator who can simplify complex technical ideas for diverse audiences.

• Thrives in a fast-moving, ambiguous startup environment; enjoys identifying the highest-impact problems and driving them to completion.

• Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI.

• Nice to Have:

• Expertise with Lang Chain or Lang Graph.

• Experience building or maintaining open source projects.

• Background in applied AI research or agentic workflow development.

• Based in San Francisco (preferred), NYC, or Boston.

Compensation:

• We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.

• Annual salary range: $170,000 - $195,000