Deployed Engineer (Phoenix)

What You’ll Do

• 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

What You’ll Bring

• 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

Nice to Have’s

• You’ve deployed AI agents in production, especially using LangChain, LangGraph, 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

Compensation

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