About this role
Developers who enjoy operating at the frontier of agent-building and want to shape how artificial intelligence shows up in the real world will thrive in this environment. LangChain is expanding its Applied AI team in New York to build reference agents like Open SWE and Deep Research, while also developing internal automation tools for engineering and go-to-market workflows.
As a technical leader, the person in this role will drive complex agentic projects from conception to deployment, mentor colleagues, and establish high standards for code quality and testing. The team operates at a fast pace within an early-stage startup context, requiring engineers who can handle ambiguity, collaborate cross-functionally, and feed practical insights back into the core platform.
What you will do
- Design and deploy end-to-end AI workflows and agents that address complex problems across various business domains.
- Iterate on agent architectures, performance frameworks, and evaluation pipelines to guarantee system reliability.
- Establish the technical benchmark for the team regarding documentation, testing, scoping, and code quality.
- Guide fellow engineers through design discussions, architecture reviews, and direct mentorship.
- Partner with customers and internal stakeholders to translate functional needs into actionable technical plans.
- Collaborate across departments with teams like Marketing and Product to uncover opportunities for agent-driven automation.
- Contribute directly to open source components, shared tools, and documentation within the LangChain ecosystem.
What you need
- Possess at least four years of software engineering experience with hands-on practice building and deploying LLM applications or agents in production.
- Demonstrated ability to lead technical projects end-to-end while mentoring other team members.
- Practical background in setting up evaluation and monitoring systems for workflows and AI agents.
- Comprehensive understanding of AI system components such as retrieval, orchestration, prompting, inference APIs, and model selection.
- Proficiency in coding with Python or TypeScript, with familiarity in both being ideal.
- Strong communication capabilities to explain technical decisions clearly to technical and non-technical audiences.
- Willingness to be based onsite in the New York, NY office.
Nice to have
- Expertise with LangChain or LangGraph
- Experience building or maintaining open source projects
Benefits
- Health and dental coverage
- Medical and vision coverage
- Flexible vacation
- 401(k) plan
- Life insurance
- Meals on in-office days in the US
Skills and tech stack
Questions candidates ask
Where is this job located?
This role is based onsite in the New York, NY office. Candidates are expected to be based in or willing to relocate to New York, NY.
What is the salary range for this position?
The annual salary range for this role is $160,000 to $200,000. Actual compensation will vary based on role, level, and location.
What tools and technologies will I be working with?
You will work with components of the LangChain ecosystem including LangChain, LangGraph, and Deep Agents. Strong coding skills in Python or TypeScript are required.