Job Title: Engineering Manager / Senior Engineering Manager

Experience :8 to 12 years

Role Overview

We are looking for an Engineering Manager / Senior Engineering Manager to lead and scale high-performing engineering teams building up-to-date, AI-driven products. This role requires robust 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 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 robust 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

Frontend (UI):

React / JavaScript

Backend (Preferred):

Java with Spring Boot

Python with FastAPI

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.

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