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 15–20 engineers, drive execution, and provide technical leadership for scalable, production-grade platforms.

Key Responsibilities

Engineering Leadership & People Management

- Lead, mentor, and manage 15–20 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 solid 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 (15–20 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 We’re 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.

📌 Senior Engineering Manager (Bengaluru)
🏢 LeadSquared
📍 Bengaluru