The opportunity
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 that developers across the community use as starting points for their own production systems,…
What you'll do
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.
Translate emerging AI research and tooling into practical, production-ready solutions.
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.
What they're looking for
- Experienced software engineer with a strong track record shipping AI or: ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production).
- 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).
