Deployed Engineer (Houston)
$150,000–$250,000 year
On-siteHouston, Texas, United States
Job Summary
Co-architect and co-build production AI agents with customer engineering teams, owning technical wins in pre-sales through POC design and deep technical guidance. Help customers deploy and operate agent-based applications like conversational agents and multi-step workflows while advising on architecture and best practices post-sale. Run technical demos, trainings, and workshops for developer audiences, then surface field feedback to contribute reusable patterns and example code that scale. Occasionally contribute code upstream when it meaningfully improves customer outcomes. Travel to customers up to 40% of the time. This role sits at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
Required Qualifications
- 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
- Travel to customers up to 40% of the time
Desired Qualifications
- You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
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