Senior Engineering Lead - Edge AI Systems

Job Summary

Location: Kochi (on-site preferred) | Reports to: Head of Engineering / CTO

We re looking for a hands-on Senior Engineering Lead to own delivery of Flagman, our edge AI computer vision platform deployed in industrial environments. You ll lead a team of 6 engineers spanning embedded systems, ML/computer vision, and cloud infrastructure while staying in the code yourself. This is a player-coach role: you re accountable for timelines and release quality, and technically credible enough to unblock the team when it matters.

Responsibilities

• Own project planning, sprint execution, and release timelines across embedded, ML, and infrastructure workstreams; flag risks and slips early with credible mitigation plans.
• Break ambiguous product requirements into scoped, estimable work and manage cross-track dependencies.
• Review and contribute code across the stack: Python ML pipelines (detection, tracking, edge inference), embedded Linux in C++ (GStreamer, GPIO, systemd), and backend services (Go, PostgreSQL).
• Lead design reviews for high-stakes changes and personally take on critical-path tasks when the team is stretched.
• Debug production issues on real hardware in the field.
• Manage, mentor, and grow the team: 1:1s, goals, feedback, performance conversations, and hiring.
• Coordinate with field engineering on deployments and customer escalations.

Requirements (Must-have)

• 8+ years of engineering experience, with 2+ years leading a team.
• Track record of shipping hardware-adjacent or embedded products on committed timelines.
• Strong hands-on skills in at least two of: embedded Linux with C++ exposure, ML inference/deployment (PyTorch, ONNX), backend services (Go or Python, PostgreSQL) and able to review code across all three.
• Confident with AI-assisted coding workflows, using them to accelerate delivery without compromising quality.
• Clear written communication: status updates, design docs, postmortems.

Strong Plus

• Edge AI / computer vision product experience (camera systems, video pipelines).
• Industrial automation exposure: PLCs, industrial protocols, sensors.
• CI/CD for embedded targets and on-device testing.

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