Job Requirements*

4 to 15 years’ experience

. 2 years in AI/Gen AI

- Strong understanding of agentic AI fundamentals—goal definition, planning, reasoning, task decomposition, and autonomous action loops.
- Design and build agentic workflows using LLMs, including tool/function calling, state management, memory, and orchestration patterns (single-agent/multi-agent).
- Hands-on experience with agent frameworks and patterns (e.g., LangChain-based agent frameworks or equivalents), including routing, workflows, and agent coordination.
- Model Context Protocol (MCP) proficiency for integrating tools and contextual data into agent workflows (tool discovery/usage via MCP servers).
- Build Retrieval-Augmented Generation (RAG) pipelines and grounding strategies for enterprise knowledge sources (e.g., internal repos/wikis/ticketing/content stores) to improve agent reliability.
- Agent observability & monitoring (AgentOps): track agent behavior, tool calls, outcomes, and quality signals; implement alerts/traces and feedback loops for continuous improvement.
- Cloud and/or platform engineering exposure for deploying agentic systems at scale (containers/Kubernetes/OpenShift,



CI/CD, performance tuning, and secure operations).
- Responsible AI & guardrails: design human-in-the-loop controls, safe tool access, and security-aware policies for agents operating with credentials, data access, and budgets.
- Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).

Key Responsibilities*

< - Agent Design and Orchestration

- Tool & Integration Development
- Evaluation, Safety and Reliability
- Deployment and Observability
- Collaboration and Integration

Certifications

AWS Certified Machine Learning – Specialty

AWS Certified Generative AI – Specialty

AWS Certified Solutions Architect – Associate

AWS Certified Security – Specialty

Azure AI Engineer Associate

Azure Data Scientist Associate

Google Cloud Skilled Generative AI Engineer

Google Cloud Professional Cloud Architect

Google Cloud Generative AI Engineer

Google Cloud Professional Cloud Security Engineer

📌 Agentic AI Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune