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.