Base Salary
$165k - $190k/yr
Responsibilities
- Design, implement, and deploy end-to-end AI workflows and agents across multiple business domains.
- Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks.
- Translate emerging AI research and tooling into production-ready solutions.
- Communicate technical decisions, trade-offs, and insights clearly to diverse stakeholders.
- Collaborate with Marketing, GTM, Recruiting, Product, and other functions to identify agent-driven automation opportunities.
- Contribute open-source components, documentation, and shared tools to the LangChain and LangGraph ecosystem.
Requirements
- Typically 3+ years of software engineering experience, including at least 1 year building LLM systems in production.
- Strong coding skills in Python or TypeScript, ideally both.
- Hands-on experience implementing evaluation and monitoring systems for agents or workflows.
- Deep understanding of prompting, retrieval, orchestration, inference APIs, and model selection across modalities.
- Experience shipping AI- or ML-powered applications.
- Strong communication skills for explaining complex technical ideas to technical and non-technical audiences.
- Experience with LangChain or LangGraph is preferred.
- Experience building or maintaining open-source projects is preferred.
- Background in applied AI research or agentic workflow development is preferred.
- San Francisco is preferred, with New York City or Boston also noted as preferred locations.
Benefits
- Health, dental, and vision coverage
- Flexible vacation
- 401(k) plan
- Life insurance
- Meals on in-office days in the US
- San Francisco or New York office-based work five days per week for employees within commuting distance; eligible employees outside commuting distance may have hybrid arrangements
- Locally competitive benefits for EU, UK, and APAC team members
Tech Stack
Categories
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. What began as widely adopted open-source tools has grown into a platform for building, evaluating, deploying, and operating agents at scale. LangChain provides the agent engineering platform and open source frameworks developers need to ship reliable agents fast. LangSmith offers observability, evaluation, and deployment for rapid iteration. Our open source frameworks, LangGraph, LangChain, and Deep Agents, help developers build agents with speed and granular control. LangSmith is trusted by leading AI teams at Zip, Vanta, Klarna, Workday, Linkedin, Cloudflare, and more.