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.
- Robust 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.

📌 Engineering Manager - Agentic AI Products (Bengaluru)
🏢 gnani.ai
📍 Bengaluru