KEY RESPONSIBILITIES

Generative AI Agentic Engineering (70%)

Design, prototype and build Generative AI applications, including prompt engineering and prompt optimization for reliability, accuracy and cost.

Build and tune Retrieval-Augmented Generation (RAG) pipelines, including chunking, embeddings, vector search and grounding strategies.

Design and build single- and multi-agent systems; implement agent-to-agent communication and orchestration patterns across tools, workflows and systems.

Implement memory management strategies for agents (short-term, long-term and episodic memory) to support context retention and coherent multi-turn behaviour.

Set up observability for AI/agentic systems: tracing, logging, evaluation and monitoring of prompts, model outputs, agent actions and failure modes.

Establish governance of agents, including permissioning, escalation paths,



human-in-the-loop checkpoints and accountability for autonomous actions.

Implement guardrails for AI and agentic systems covering input/output validation, content safety, jailbreak and prompt-injection defence, and tool-use restrictions.

Apply software development practices to AI systems, including API integration, version control, CI/CD, testing and secure coding for AI/agentic applications.

AI Governance AI Solutions Review (30%)

Design, implement and maintain the enterprise AI governance framework, policies, standards and

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📌 AI Specialist I (Gurugram)
🏢 Axis Max Life Insurance
📍 Gurugram