Senior Engineer, Agentic AI & MLOps Engineering (5-8 years)

Required skills & experience

• Strong hands-on engineer who can Design, build, and deploy agentic AI systems using LLMs, tool orchestration, and multi-agent workflows. Experience building multi-agent systems or autonomous workflows.
• Proven expertise to structurally debug the AI production issue and apply the right fix.
• Experience evaluating the Agents so that the production system remain robust.
• Develop and optimize MLOps pipelines, RAG, vector databases and retrieval strategies.
• Build robust prompt frameworks, evaluation pipelines, and guardrails for safe and reliable AI behaviour.
• Integrate LLM-based systems with enterprise APIs, data platforms, and operational systems.
• Implement observability, feedback loops, and performance monitoring for agentic systems in production.

To qualify for this role, you must have

• 6–8 years of professional experience in software engineering with Agentic AI, ML platform engineering with 5+ years of hands-on experience with Generative AI and LLM-based systems in production environments.
• BE/B.Tech/ME/M.Tech Computer Science/IT/Electronics Engg/ Data Science/ Machine learning/AI Engineering or related field.
• Solid grounding in core data science and machine learning.
• Practical experience with LLMs and generative AI, including prompting and RAG.
• Familiarity with how AI agents are built and orchestrated.
• Strong Python and common data/ML libraries; good engineering habits.
• Clear communicator and collaborative team player.

Ideally, you’ll also have, but not essential