About the company
- LangChain builds the foundation for agent engineering, helping developers move from prototypes to production-ready AI agents.
- Platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, Sandboxes), open source frameworks (LangChain, LangGraph, Deep Agents), and LangSmith Engine.
- $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, Sapphire Ventures.
- 100M+ monthly open source downloads, 6,000+ active LangSmith customers.
About the team
The Applied AI team builds the agents that show the world what's possible with LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent, while also building internal agents that power LangChain's own GTM and engineering workflows.
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.
- Set the technical bar for the team on code quality, testing, documentation, and project scoping.
- Mentor engineers through code review and design discussions.
- Work directly with customers and internal stakeholders to translate requirements into technical plans.
- Identify gaps in internal tooling, frameworks, and processes and drive enhancements.
- Communicate technical decisions, trade-offs, and insights to technical and non-technical stakeholders.
- Collaborate cross-functionally with Marketing, GTM, Recruiting, or Product.
- Contribute to the LangChain and LangGraph ecosystem, including open source components, documentation, and shared tools.
Requirements
- 4+ years of software engineering experience with direct experience building and deploying LLM-powered applications or agents in production.
- Experience leading technical projects end to end, mentoring engineers and raising technical quality.
- Hands-on experience implementing evaluation and monitoring systems for agents or workflows.
- Deep understanding of AI system components: prompting, retrieval, orchestration, inference APIs, and model selection across modalities.
- Strong coding skills in Python or TypeScript (ideally both).
- Excellent communicator.
- Based in or willing to relocate to New York, NY.
Nice to haves
- Expertise with LangChain or LangGraph.
- Experience building or maintaining open source projects.
Conditions
- This role is based onsite in New York, NY.
- Compensation includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance.
- Annual Salary Range: $160,000 - $200,000.