LangChain
Deployed Engineer (Austin)
About this role
LangChain seeks a Deployed Engineer to work directly with enterprise customers building production AI agents, bridging technical implementation with go-to-market strategy. You'll architect agent systems, lead pre-sales technical evaluations, and guide customers through deployment and operations while traveling to customer sites up to 40% of the time.
What you'll do
- Co-architect and build production AI agents alongside customer engineering teams
- Own technical evaluation phase by designing POCs and answering complex architectural questions
- Deploy and operate agent applications including conversational systems, research agents, and multi-step workflows
- Provide post-sale advisory on architecture, best practices, and strategic roadmap decisions
- Conduct technical demos, training sessions, and workshops for developer audiences
- Gather field insights and contribute reusable patterns, documentation, and example code
What they're looking for
- Python and JavaScript programming
- AI agent design and orchestration patterns
- LLM application architecture beyond basic API integration
- Direct customer engagement and technical sales support
- Technical communication and explanation of complex tradeoffs
- Cloud platforms (AWS, GCP, Azure)
- Production software deployment and operations
- Containers and Kubernetes fundamentals
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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
- Tell us about a production AI agent system you've designed—what were the key architectural decisions and failure modes you had to handle?
- Describe your experience going from POC to production with an LLM-powered application. What surprised you, and what would you do differently?