Agent AI Engineer
- Source: LinkedIn
- Tata Consultancy Services
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
Role: Agent AI Engineer
Experience: 6+ Years
Location: Hyderabad, Bangalore , Chennai, Delhi
Job Description:
Key Responsibilities
- Develop and deploy AI agents using Google ADK and Gemini AI.
- Build grounded RAG solutions with hallucination mitigation, guardrails, embeddings, vector search, MCP and function calling.
- Design multi-agent and multi-orchestrator workflows for planning, routing, memory and tool execution.
- Integrate agents with enterprise APIs, databases, vector stores and applications.
- Implement testing, security, observability, CI/CD, monitoring and production support.
- Troubleshoot agent behaviour, retrieval quality, integrations and cloud deployment issues.
Required Skills & Experience
- 6–15 years of relevant software, AI or platform engineering experience.
- Strong Python development and hands-on Generative AI, Agentic AI, LLM and RAG experience.
- Knowledge of Google ADK, Gemini, Vertex AI and GCP.
- Experience with LangChain, LangGraph, CrewAI, vector search, grounding, MCP and function calling.
- Experience with REST APIs, Docker, Kubernetes, Cloud Run or GKE, Git and CI/CD.
Skills
- agentai
- Gemini
- guardrails
- orchestrator
- Python
- vertex
- google-cloud-platform
- LangChain
- LangGraph
- crewai
- Docker
- Kubernetes
