ashby
AI Agent Engineer
Lumos
Remote, USA
Full-time
Senior · 5+ years experience
Remote
USD 175000-300000 yearly / year
Discovered 1 weeks ago
GoTypeScriptPythonReactGraphQLApollo
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Why Lumos?
🚀 Jump on a rocketship. Since launching out of stealth in April 2022, we've grown from 20 to ~130 Alchemists and raised over $65M from a16z, Scale, Neo, Greg Brockman (President at OpenAI), and Phil Venables (CISO at Google).
⭐ Customers love us — and so does the industry. Named a Strong Performer in the 2026 Gartner Voice of the Customer for IGA — 4.7/5, with 96% of reviewers saying they'd recommend us. Our customers cut time-to-access by 98%, slash IT tickets by 72%, and eliminate excess privilege at scale.
🏆 A culture worth joining. Three years running on Forbes' Top 100 Best Startup Employers in America (2024, 2025, 2026) — measured on culture, retention, growth, and job creation. That's our Alchemists, not our marketing. See what we live by here .
We’re looking for a AI Agent Engineer to join the team. You'll build and own core AI features, in addition to helping to ensure the health of our engineering systems. You will work across the stack, focusing on areas you are most excited about and that bring value to customers. Beyond your technical work, you will gain leadership opportunities early on as we grow our engineering team. You'll be involved in scaling the product, the team, and the entire company. 🚀
✨ Your Responsibilities
- Lead the development of agent pipelines: design modular SDK components, drive production rigor, and support the growth of junior engineers.
- Architect composable agent SDKs with built-in safety and robust fallback strategies.
- Design tracing tools and alert dashboards to ensure agent performance and quality.
- Own the agent lifecycle—from chaining and testing to CI/CD and production rollout.
- Collaborate closely with security and operations teams to ensure agent governance and auditability.
- Mentor and uplevel teammates on best practices in observability and resilience.
- Solve challenging technical problems across the stack to develop critical customer-facing features; includes the frontend (React, Typescript), communication layer (GraphQL, Apollo), and backend (Python, Flask, sqlalchemy).
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