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Bengaluru metro location and popular AI role increase applicant density, but M.Tech requirement narrows the pool.
AI engineering skills are transferable across industries but require ML-specific expertise and academic background.
M.Tech final-year/recent-graduate requirement and technical deliverables enforce moderate screening.
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Convert AI pipelines into functional prototypes and advance them to production-ready enterprise solutions.
Design, build, and harden AI agents and their supporting systems to ensure reliability and testability.
Contribute to engineering practices to maintain system robustness, scalability, and deployability.
Currently pursuing or recently completed M.Tech in Computer Science, AI/ML, or related field.
Strong programming fundamentals with a hands-on approach to debugging and problem-solving.
Understanding of AI agent development including orchestration, tooling, and evaluation frameworks.
Work Experience Required: Final-year M.Tech students or recent graduates only; notice period not explicitly mentioned.
Experience collaborating closely with domain experts to transition prototypes into deployable products.
Builder-focused mindset with emphasis on practical system implementation rather than theoretical research.
Exposure to AI agent infrastructure including orchestration, tooling, and guardrails increases competitiveness.