About the role
The Pod Lead Engineer( AI Full Stack Lead) is a hands-on technical leader managing a small pod of 4–5 engineers, driving high-quality, outcome-focused delivery. Operating in an AI-native environment, this role leverages AI tools across the SDLC to accelerate development, testing, and release.
Responsible for technical direction, delivery ownership, and engineering excellence, while ensuring strong standards in security, compliance, and quality.

What you’ll be doing
Hands-on Delivery Leadership: Lead a pod of 4–5 engineers, contributing to design, coding, and reviews while driving CI/CD, automated testing, and high-quality releases.
AI-Enabled SDLC: Leverage AI tools across the SDLC to accelerate development, testing, documentation, and delivery outcomes.
Technical Ownership: Define architecture, design patterns, and ensure code quality, performance, security, and reliability.
Pod Leadership: Manage day-to-day pod activities, task prioritization, unblock teams, and coach engineers in AI-native ways of working.
Stakeholder Engagement:



Collaborate with product and business teams to align on requirements, track progress, and deliver outcomes.
Governance & Risk: Ensure compliance, security standards, and responsible AI usage with proper documentation and controls.

Essential Skills / Experience
Robust experience as a Senior Software Engineer / Tech Lead, delivering scalable production systems
Solid fundamentals in API design, data modelling, testing, CI/CD, secure coding, and reliability
Hands-on expertise in Java or Python with frontend and backend technologies (React, Flutter, PostgreSQL, Neptune DB)
Experience working in cloud environments (AWS preferred)
Proven ability to lead small pods/teams and deliver in an iterative, agile setup
Hands-on experience with AI development tools (e.g., Copilot, Claude, Amazon Kiro, agent workflows, AI-assisted testing & documentation).

Desirable Skills / Experience
Experience working in AI‑assisted / agentic delivery

📌 Lead Software Engineer (Bengaluru)
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