🛠 Tech Stack

💼 About This Role

You'll work on some of the hardest problems in applied AI, co-architecting and co-building production AI agents with customer engineering teams. You'll own the technical win in pre-sales by designing POCs and guiding evaluations. The feedback loop is fast, and the impact is visible.

🎯 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 and guiding evaluations
• Help customers deploy and operate agent-based applications
• Run technical demos, trainings, and workshops for developer audiences

📋 Requirements

• 3+ years in a relevant technical role
• Strong Python and JavaScript fundamentals
• Designed agent-based or LLM-powered applications beyond simple API calls
• Comfortable working directly with customers during POCs and architecture reviews

✨ Nice to Have

• Deployed AI agents in production using LangChain or similar frameworks
• Experience with LLM evaluation, observability, or guardrails
• Experience with cloud environments, containers, and Kubernetes

🎁 Benefits & Perks

• 🏖️ Flexible vacation
• 🩺 Medical, dental, and vision coverage
• 📈 Meaningful equity
• 💰 401(k) plan
• 🛡️ Life insurance

🚩 Heads Up

• Role title 'Deployed Engineer' is non-standard; responsibilities span engineering, sales, and customer success
• Vague requirements with no explicit years of experience stated in requirements field; inferred from body