Engineering Manager / Senior Engineering Manager

LeadSquared; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

LeadSquared in Bengaluru is seeking an Engineering Manager / Senior Engineering Manager to lead and scale high‑performing engineering teams building AI‑driven products. This role blends strong people leadership with hands‑on backend focus and will oversee 15–20 engineers across multiple pods.

You will own delivery, drive architecture, and mentor teams while guiding the development of LLM‑based agents. Expertise across frontend (React/JS) and backend (Java Spring Boot, Python FastAPI) plus cloud,

Qualifications

• Proven experience leading 15-20 engineers.
• Strong ownership and execution mindset.
• Experience in AI/ML platforms or agentic AI is a plus.
• Ability to operate across engineering, product, and AI domains.
• Experience designing scalable, production‑grade platforms.

Responsibilities

• Lead, mentor, and manage 15-20 engineers across multiple teams.
• Own hiring, onboarding, performance management, and career development.
• Drive architecture and design across frontend and backend systems.
• Ensure scalable, secure, reliable, and observable platforms.
• Lead or contribute to building LLM-based agents or agentic AI products.
• Partner with Product Managers to translate requirements into execution plans.
• Own delivery commitments and sprint execution across PODs.

Skills

People leadership

Hiring & mentoring

Full-stack awareness

Backend expertise

Architectural leadership

LLM/Agentic AI

React / JavaScript

Java Spring Boot

Python FastAPI

Distributed systems

Cloud platforms AWS/GCP

CI/CD / DevOps

Observability tools

Job description

Engineering Manager / Senior Engineering Manager

Experience: 8-12 years

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 acrossfrontend 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 oragentic 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 (AWSor 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 Were Looking For

• A leader who can scale teams, own delivery, anddrive technical excellence.
• Someone excited about building ML, agentic AI and AI-powered products at scale.
• Comfortable operating across engineering, product, and AI domains