Deployed Engineer (Austin)
$150k - $250k • Remote • Austin, TX • 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 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 the future of AI agents. You will collaborate closely with customer engineering teams, moving beyond prototypes to create reliable, production-ready AI agents. The feedback loop is rapid, the impact is tangible, and your contributions will significantly influence how AI agents are developed and deployed globally.
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.
- Travel to customers up to 40% of the time.
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