Tata Consultancy Services→
AI Engineer_Virtual Drive_19th Sep at Tata… · Bengaluru
Skills
Job Description
Role & responsibilities
Agentic AI & Multi-Agent Systems
o Design and implement multi-agent architectures using LangGraph
o Build stateful, tool-augmented agents capable of reasoning, planning, and execution
o Develop agent orchestration patterns (planner-executor, supervisor, hierarchical agents)
o Implement memory systems (short-term, long-term, contextual memory)
o Enable cross-agent communication and coordination
• LLM Applications & Orchestration o Build production-grade LLM applications (RAG, agents, copilots)
o Integrate tools, APIs, and enterprise systems into agent workflows
o Design robust prompting, routing, and guardrails
o Optimize workflows for latency, cost, and quality
• Platform & API Development
o Develop reusable AI services, agent frameworks, and APIs
o Contribute to AI platform capabilities (model routing, observability, guardrails)
• Cloud Deployment & Production Systems
o Deploy agent-based systems on AWS
o Use Docker and Kubernetes for scalable deployments