Deployed Engineer (Bay Area)
$185k - $315k • San Francisco, CA • FullTime
Posted 22d ago
Job Location
San Francisco, CA
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
This role focuses on partnering directly with companies to build and operate AI agents in production, transforming prototypes into reliable systems. It's a hands-on, technical position that involves working closely with customer engineers throughout the entire lifecycle, from pre-sales evaluations to post-deployment support. The core objective is to achieve technical success by co-designing agent architectures and ensuring customers can reliably operate these agents at scale using the LangChain suite. This position sits at the intersection of engineering, product, and go-to-market, influencing LangChain's adoption and providing valuable real-world insights back to the platform.
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 like conversational agents, research agents, and multi-step workflows.
- 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
- 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.
- 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 (US)
- Meaningful equity