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Job Description & How to Apply Below
Job Title
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 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):
o React / Java Script
· Backend (Preferred):
o Java with Spring Boot
o 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, Dev Ops 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 fortable operating across engineering, product, and AI domains.
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