Deployed Engineer (Atlanta)
$150k - $250k • Atlanta, GA • FullTime
Posted 23d ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
LangChain is seeking a Deployed Engineer to join their team and work on challenging applied AI problems, focusing on production systems that real teams depend on. This role involves working directly with customer engineering teams to co-architect and co-build AI agents, ensuring technical wins through designing POCs and guiding evaluations. You will help customers deploy and operate agent-based applications, advise on architecture and best practices, and run technical demos and trainings. The position offers a fast feedback loop, visible impact, and the opportunity to shape how AI agents are built in the real world. You will also surface field feedback and contribute reusable patterns and example code, occasionally contributing code upstream to improve customer outcomes.
Responsibilities
- Co-architect and co-build production AI agents with customer engineering teams.
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations.
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows.
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions.
- Run technical demos, trainings, and workshops for developer audiences.
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers.
- Occasionally contribute code upstream when it meaningfully improves customer outcomes.
Requirements
- 3+ 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.
- Designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling.
- Comfortable working directly with customers during POCs, architecture reviews, and technical evaluations.
- Ability to explain technical tradeoffs clearly and build trust with developer audiences.
- Takes responsibility for outcomes, not just recommendations.
- Has a bias toward action and enjoys figuring things out as you go.
- Excited about operating AI agents in production, not just building demos.
Benefits
- Meaningful equity
- Medical, dental, and vision coverage
- Flexible vacation
- 401(k) plan
- Meals on in-office days in the US