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# AI Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Johns Creek, GA, United States
- **Salary:** $120,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, BigQuery, Databases, Software Debugging, Identity and Access Management, Python (Programming Language), Routing, Rapid Prototyping Process, Standard Sql, Enterprise Software Applications, Chatbots, Large Language Models, Multi-Agent Systems, Backend, Operational Systems, Data Management, Virtual Agents, GPT
- **Published:** July 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c6314c157aedefc2

## About the Role

* Hands-On Development & POCs
 * Python technology + Additional backend knowledge
 * Hands on GCP experience (Vertex AI preferred)
 * Implemented access control mechanism, trusted AI solutions
 * Strong SQL (Big Query preferred)
 * Experienced API building
 * Hands-on Experience ADK framework or similar agent framework
 * Hands-on Experience AI/LLM application or chatbots
 * Domain knowledge Supply chain / transportation domain experience (e.g., logistics, TMS, routing, shipment visibility)
 * Able to build rapid POCs demonstrating:
*

 + Multi-agent collaboration
 + RAG/Vector databases
 + Autonomous task execution
 + IAM/Secure service integration
 + Agents interacting with client's APIs, data platforms, and operational systems
 + MCP-based tool integrations for internal systems

## Description

+ Agent Studio / AI Studio or rapid prototyping tools
 + Enterprise copilots or operational AI assistants
 + Gemini models
 + GPT-based agents
 + GCP AI Agentic capabilities (If not, Azure AI Agentic capabilities is fine)
 + Create debugging, observability, and evaluation frameworks for agent behavior.

Roles & Responsibilities
Agentic AI Engineer

 * Develop AI agents/chatbots with tool integration (APIs, databases, services)
 * Build using ADK (Python required; Java or similar preferred)
 * Create multi-step agent workflows (reasoning, orchestration, context handling)
 * Rapidly prototype using Agent Studio / AI Studio (or equivalent)
 * Convert POCs to production services on GCP (Cloud Run / GKE)
 * Integrate with Vertex AI, BigQuery, enterprise systems
 * Implement guardrails, access controls, and monitoring
 * Optimize latency, cost, and reliability


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