Deployed Engineer (Raleigh)
$150k - $250k • Remote • Raleigh, NC • FullTime
Posted 5mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
LangChain is seeking a Deployed Engineer to join their team, focusing on making intelligent agents ubiquitous. This role involves working on challenging applied AI problems, building production systems that real teams depend on, and directly shaping how AI agents are built and used in the real world. The feedback loop is fast, the impact is visible, and the work contributes to the evolution of AI agent technology.
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.
- 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 explain technical tradeoffs clearly and build trust with developer audiences.
- Takes responsibility for outcomes, not just recommendations.
- Bias toward action and enjoys 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 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