Senior Engineering Manager

LeadSquared; Bengaluru; On-site; INR 2,800,000 - 4,800,000; Full time

Job summary

LeadSquared in Bengaluru is seeking an Engineering Manager/Senior Engineering Manager to lead and scale high-performing teams building AI-driven products. You will combine people leadership with backend expertise and hands-on work on LLM-based agentic systems.

You will manage 15–20 engineers, drive delivery across PODs, and provide architectural guidance for scalable, secure, observable platforms in collaboration with product and AI teams.

Qualifications

• Strong people leadership with experience scaling teams.
• Hands-on backend expertise with full-stack awareness.
• Experience building LLM-based agents or agentic AI systems.
• Ability to own delivery, sprint planning, and cross-team priorities.
• Excellent communication and stakeholder management.

Responsibilities

• Lead and scale engineering teams of 15–20 engineers.
• Drive architecture, system design, and technical decisions.
• Own hiring, onboarding, performance reviews, and career development.
• Partner with product and AI teams to deliver AI-powered products.
• Ensure systems are scalable, secure, observable, and reliable.

Skills

People leadership

Full-stack awareness

Backend expertise

AI/Agentic systems

Delivery & execution

Communication

Stakeholder management

Tools

Java with Spring Boot

Python with FastAPI

AWS

GCP

CI/CD

DevOps practices

Job description

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 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):
• 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

• 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.