LangChain
Deployed Engineer (Atlanta)
About this role
LangChain seeks a Deployed Engineer to partner with enterprise customers building production AI agents. You'll own technical wins from pre-sales through post-deployment, co-architecting agent systems, running evaluations, and feeding real-world insights back into the platform.
What you'll do
- Co-architect and build production AI agents with customer engineering teams
- Lead technical evaluations and POCs, answering deep technical questions during pre-sales
- Help customers deploy and operate conversational, research, and multi-step workflow agents
- Provide post-sale advisory on architecture, best practices, and product roadmap decisions
- Deliver technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code
What they're looking for
- Python and JavaScript
- Agent-based and LLM-powered application design
- Systems architecture and orchestration
- Customer collaboration and technical communication
- Cloud environments (AWS, GCP, Azure)
- Production software deployment and operations
- 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
- Walk us through a production AI agent or LLM-powered application you've built. What were the hardest technical problems you solved, and how did you handle failure cases?
- Tell us about a time you worked directly with a customer to solve a technical problem. How did you balance their needs with what was actually feasible?