Lead Applied AI Engineer | NYC Onsite, Mentorship & Impact

LangChain, Inc.; New York, Northern (NY, KY); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Health and dental coverage

401(k) plan

Flexible vacation

Life insurance

Job summary

LangChain, Inc. in New York is seeking a Lead Applied AI Engineer to guide complex agentic projects from inception to production.

This hands-on role requires building, shipping, and mentoring engineers, with a focus on end-to-end AI workflows and reliable agent architectures. You will collaborate with customers and internal partners, set technical standards, and push for measurable impact through agent-driven automation.

Qualifications

• 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.
• Based in or willing to relocate to New York, NY

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 View Posting source components, documentation, and shared tools.

Skills

LLM-powered apps

Technical leadership

Python/TypeScript

Mentoring engineers

Monitoring systems

Communication

Job description

LangChain, Inc. in New York is seeking a Lead Applied AI Engineer to guide complex agentic projects from inception to production.

This hands-on role requires building, shipping, and mentoring engineers, with a focus on end-to-end AI workflows and reliable agent architectures. You will collaborate with customers and internal partners, set technical standards, and push for measurable impact through agent-driven automation.