Deployed Engineer

Responsibilities

• Co-architect and co-build production AI agents with customer engineering teams.
• Own the technical win in pre-sales by designing proofs of concept, answering deep technical questions, and guiding evaluations.
• Help customers deploy and operate agent-based applications, including 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.
• Travel to customers up to 40% of the time.

Requirements

• 6+ years in a relevant technical role, such as software engineering, customer engineering, solutions engineering, founding engineering, or product engineering; startup or scale-up experience is preferred.
• 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 proofs of concept, architecture reviews, and technical evaluations.
• Ability to explain technical tradeoffs clearly and build trust with developer audiences.
• Ownership of outcomes, not just recommendations.
• Bias toward action and ability to figure things out in changing environments.
• Interest in operating AI agents in production rather than only building demos.

Nice to Have

• Experience deploying AI agents in production, especially using LangChain, LangGraph, or similar frameworks.
• Experience with LLM evaluation, observability, or guardrails.
• Experience with cloud environments, containers, and basic Kubernetes concepts.
• Experience shipping and operating production software under real-world constraints.

Compensation and Benefits

• Annual OTE range: $150,000–$250,000 USD.
• Compensation may include base salary, variable compensation, meaningful equity, benefits, and perks; offerings vary based on role, level, and location.
• Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and meals on in-office days in the US.