Role Overview :

We are looking for an Engineering Manager / Senior Engineering Manager to lead and scale high-performing engineering teams building modern, AI-driven products.

This role requires strong people leadership, solid full-stack awareness with a backend expertise (preferred), and hands-on experience building LLM-based agents or agentic AI systems.

You will manage 1520 engineers, drive execution, and provide technical leadership for scalable, production-grade platforms.

Key Responsibilities :

Engineering Leadership & People Management :

- Lead, mentor, and manage 1520 engineers across multiple teams.

- Own hiring, onboarding, performance management, and career development.

- Build a culture of engineering excellence, accountability, and high ownership.

- Balance strategic thinking with hands-on technical guidance when needed.

Technical Ownership & Architecture :

- Provide technical leadership across frontend and backend systems.

- Drive architecture, system design, and technical decision-making.

- Review designs and critical code paths; guide teams through complex engineering challenges.

- Ensure systems are scalable, secure, reliable, and observable.

AI / Agentic Systems :

- Lead or contribute to building LLM-based agents or agentic AI products.

- Experience with agent orchestration, tool usage, context management, and evaluation.

- Exposure to voice bots / conversational AI is a strong plus.

Delivery & Execution :

- Own delivery commitments and sprint execution across PODs.

- Partner with Product Managers to translate requirements into execution plans.

- Proactively identify risks and ensure predictable, high-quality delivery.

Preferred Technical Skills (First Preference) :

Frontend (UI) :

- React / JavaScript.

Backend (Preferred) :

- Java with Spring Boot.

- Python with FastAPI.

- Candidates with strong experience in other frontend or backend technologies are also welcome; however, the above stack is strongly preferred.

Other Technical Skills :

- Experience designing and scaling distributed systems and APIs.

- Experience with cloud platforms (AWS or GCP).

- Familiarity with CI/CD, DevOps practices, and observability tools.

- Exposure to AI/ML platforms, prompt engineering, or MLOps is a plus.

Leadership & Behavioral Skills :

- Proven experience managing large teams (1520 engineers).

- Strong ownership and execution mindset.

- Ability to operate effectively in fast-paced, ambiguous environments.

- Excellent communication and stakeholder management skills.

- You are passionate and obsess about building products that users love and admire.

What Were Looking For :

- A leader who can scale teams, own delivery, and drive technical excellence.

- Someone excited about building ML, agentic AI and AI-powered products at scale.

- Comfortable operating across engineering, product, and AI domains.