Deployed Engineer (Chicago)
$200k - $250k • Remote • Chicago, IL • FullTime
Posted 1mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
LangChain is seeking a Deployed Engineer in Chicago to join their Deployed Engineering team. This role focuses on working directly with companies to build and run AI agents in production, transforming prototypes into reliable systems. You will partner closely with customer engineers throughout the entire lifecycle, from pre-sales evaluations to post-deployment advisory. The position involves co-designing agent architectures, helping customers operate agents at scale using the LangChain suite, and contributing to the product's evolution based on real-world insights. This is a hands-on, highly technical role at the intersection of engineering, product, and go-to-market.
Responsibilities
- Co-architect and co-build production AI agents with customer engineering teams.
- Own the technical win in pre-sales by designing POCs, answering technical questions, and guiding evaluations.
- Help customers deploy and operate agent-based applications.
- Advise customers post-sale on architecture, best practices, and roadmap decisions.
- Run technical demos, trainings, and workshops for developer audiences.
- Surface field feedback and contribute reusable patterns, cookbooks, and example code.
- Occasionally contribute code upstream to improve customer outcomes.
Requirements
- 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.
- Experience designing 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 clearly explain technical tradeoffs and build trust with developer audiences.
- Takes responsibility for outcomes.
- Bias toward action and enjoys figuring things out.
- Excited about operating AI agents in production.
Benefits
- Medical, dental, and vision coverage
- Flexible vacation
- 401(k) plan
- Meals on in-office days
- Meaningful equity
- Variable compensation