Lead Applied AI Engineer

LangChain•New York, NY

3d•$160,000 - $200,000•Onsite

About The Position

LangChain is seeking a Lead Applied AI Engineer to join their NYC-based office. This is a hands-on role focused on leading technical projects from conception to completion and mentoring other engineers. The successful candidate will drive the development of complex agentic projects, acting as a technical lead and problem-solver for the team. The role involves designing, implementing, and deploying AI workflows and agents, developing agent architectures and evaluation pipelines, and setting the technical standard for code quality, testing, and documentation. The engineer will also mentor team members, translate requirements into technical plans, identify and improve internal tooling, and communicate technical decisions to various stakeholders. Collaboration with cross-functional teams like Marketing, GTM, Recruiting, and Product is expected to identify opportunities for agent-driven automation. Contribution to the LangChain and LangGraph ecosystem, including open-source components, documentation, and shared tools, is also a key aspect of the role.

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 the technical quality of a team
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.
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.

Responsibilities

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
Set the technical bar for the team on code quality, testing, documentation, and project scoping
Mentor engineers on the team 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 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 LangChain and LangGraph ecosystem, including open-source components, documentation, and shared tools.