Live opening · Posted 7 days ago

Agentic AI Engineer

Tata Consultancy Services Limited · Pune District, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyTata Consultancy Services Limited
LocationPune District, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

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 Professional Generative AI Engineer
Google Cloud Professional Cloud Architect
Google Cloud Generative AI Engineer
Google Cloud Professional Cloud Security Engineer

Work arrangement
No

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