Deployed Engineer; Bay Area

About The Role

The Deployed Engineer works on some of the hardest problems in applied AI—systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.

• West:
  San Francisco, Pacific Northwest, Southern California
• Central:
  Austin, Chicago, Denver
• East:
  New York, Atlanta
• EMEA:
  London, Amsterdam

• 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

• 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
• Have designed agent‑based or LLM‑powered applications beyond simple API calls, including multi‑step workflows, orchestration, and failure handling
• Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
• Can explain technical tradeoffs clearly and build trust with developer audiences
• Take responsibility for outcomes, not just recommendations
• Have a bias toward action and enjoy figuring things out as you go
• Are excited about operating AI agents in production, not just building demos

• You’ve deployed AI agents in production, especially using Lang Chain, Lang Graph, or similar frameworks
• Worked with LLM evaluation, observability, or guardrails
• Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
• Have shipped and operated production software and are comfortable owning systems under real‑world constraints

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Annual OTE range: $150,000–$250,000 USD
.