Senior Engineering Manager - Agentic AI - Bangalore

Crescendo Global Leadership Hiring India; Bengaluru; On-site; INR 4,200,000 - 6,600,000; Full time

Job summary

Crescendo Global Leadership Hiring India in Bengaluru seeks an Engineering Manager / Senior Engineering Manager to lead and scale high-performing teams building AI-driven products. You will manage 15–20 engineers, provide technical leadership, and drive architecture for scalable systems. Proficiency in frontend React and backend Java Spring Boot, with cloud and DevOps familiarity, is preferred. This role offers direct impact on product strategy and execution.

Qualifications

• 8–12 years of experience in engineering leadership.
• Experience building AI-driven, scalable platforms.
• Hands-on backend expertise with full-stack awareness.
• Proven track record leading 15–20 engineers.

Responsibilities

• Lead, mentor, and manage multiple engineering teams.
• Own hiring, onboarding, and performance management.
• Drive architecture, system design, and technical decisions.
• Ensure scalable, secure, observable production systems.
• Deliver with PODs, coordinate with product managers.

Skills

People leadership

Full-stack awareness

Backend expertise

LLM-based agents

Engineering management

Team scaling

Frontend (React)

Backend (Java Spring Boot)

Python FastAPI

Cloud (AWS/GCP)

Tools

AWS

GCP

CI/CD tools

Observability tools

Agent orchestration

Job description

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 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 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

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.