Engineering Manager / Senior Engineering Manager

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 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): • 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 (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 • 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, 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