Engineering Manager - Agentic AI Products

About the role
We're building production agentic AI products — intelligent agents that reason, call tools, and act reliably at scale. We're looking for a hands-on Engineering Manager to lead a team building these products end to end: from design and architecture through shipping, deployment, and iteration. This is a hands-on role. You'll lead and grow a team of engineers while staying close to the code — designing systems, reviewing pull requests, and jumping in on hard problems yourself. You set the technical bar by example.
What you'll do
Lead, mentor, and grow a team of engineers building agentic AI products.
Own delivery — from architecture and design through implementation, deployment, and production quality.
Stay hands-on: contribute to system design, write and review code, and unblock the team on hard technical problems.
Drive engineering best practices — clean design, code quality, testing, and reliable release processes.
Partner with product to turn ambiguous problems into shipped, working products.
Hire well and raise the bar as the team scales.
Requirements
8–10 years of software engineering experience, with 1–2 years managing engineers.
Has managed a team of 8–10 strong developers and shipped real products to production.
Hands-on — actively codes and leads by technical example, not from a distance.
Strong programming skills in Python and/or Go.
Solid system design and API architecture experience.
Strong understanding of Git workflows and branch management.
Comfortable with deployment processes and CI/CD pipelines and constructs.
Preferred
Experience with MongoDB.
Docker experience.
Exposure to cloud platforms.
Experience building LLM-based or agentic AI products.
What we value
Depth, ownership, and building things that work at scale. You take responsibility for outcomes, hold a high engineering bar, and grow the people around you.

Work arrangement
No