LangChain
Deployed Engineer (Houston)
About this role
LangChain seeks a Deployed Engineer to work directly with enterprise customers building production AI agents, bridging technical architecture, customer success, and product feedback. You'll co-design and deploy agent systems, lead pre-sales technical evaluations, and shape real-world adoption of the LangChain platform.
What you'll do
- Co-architect and build production AI agents alongside customer engineering teams
- Own technical evaluation and POC design during pre-sales engagements
- Deploy and operate agent applications (conversational, research, multi-step workflows) with customers
- Provide post-deployment advisory on architecture, best practices, and strategic decisions
- Conduct technical demos, training sessions, and workshops for developer audiences
- Surface field insights and contribute reusable patterns, documentation, and example code
What they're looking for
- Python and JavaScript programming
- Agent-based and LLM-powered application design
- Systems architecture and orchestration
- Direct customer engagement and technical communication
- Production software deployment and operations
- Cloud environments (AWS, GCP, Azure)
- LangChain, LangGraph, or similar frameworks
- LLM evaluation and observability tools
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LangChain
LangChain builds platforms and frameworks for developing, deploying, and observing production AI agents at enterprise scale, including LangSmith for AI observability and evaluation. The company is hiring Deployed Engineers to work directly with enterprise customers on agent implementation and operations, as well as Fullstack Engineers to build features across its platform stack.
- Website
- langchain.com
Likely interview questions
- Describe a complex AI agent or LLM-powered system you've designed—what were the key architectural decisions and failure handling patterns?
- How do you approach building trust with customers during pre-sales technical evaluations, especially when discussing tradeoffs?