Deployed Engineer (Boston)
$185k - $300k • Boston, MA • FullTime
Posted 19d ago
Job Location
Boston, MA
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
LangChain is building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. With significant funding and a rapidly growing platform that includes open-source tools and a commercial offering, team members have a meaningful impact on shaping the future of AI technology. The Deployed Engineering team works directly with companies building and running AI agents in production, partnering closely with customer engineers across the full lifecycle to achieve technical wins and ensure reliable operation at scale using the LangChain suite. This role sits at the intersection of engineering, product, and go-to-market, feeding real-world insights back into 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 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.
- Take responsibility for outcomes, not just recommendations.
- Bias toward action and enjoy figuring things out as you go.
- Excited about operating AI agents in production, not just building demos.
- Experience deploying AI agents in production, especially using LangChain, LangGraph, or similar frameworks (nice to have).
- Experience with LLM evaluation, observability, or guardrails (nice to have).
- Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts (nice to have).
- Shipped and operated production software and are comfortable owning systems under real-world constraints (nice to have).
Benefits
- Medical, dental, and vision coverage
- Flexible vacation
- 401(k) plan
- Meals on in-office days in the US
- Meaningful equity
- Variable compensation