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# Senior AI Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Indianapolis, IN, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Cloud Computing, Software Debugging, DevOps, OAuth, Salesforce.Com, Simple Object Access Protocol (SOAP), ReactJS, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Fastapi, Kubernetes, Information Technology, Front End Software Development, Virtual Agents, Api Management, Servicenow
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=40c1e1dc88c11d9a

## About the Role

Qualifications : BACHELOR OF COMPUTER SCIENCE

## Description

Design, build, and maintain a multi-tier AI agent platform that connects LLMs to real-world enterprise systems (CRM, Salesforce, ServiceNow, SFMC etc.). Bridge the gap between raw LLM capabilities and production business workflows - translating business intent into reliable, scalable agent infrastructure
Roles & Responsibilities
Python backend development - FastAPI + Flask, async patterns, Pydantic models. Production-grade services on Kubernetes- with proper error handling, retries, and typed contracts between layers.
LLM orchestration - prompt engineering, session/context management, multi-agent patterns, tool use (MCP servers). Keep agents grounded, scoped, and auditable across multi-step workflows.
React/frontend basics - enough to read, debug, and wire service calls. Trace request-response through a component without being the one who styled it.
Cloud infrastructure - AWS S3, Secrets Manager, ECR , ECS , ALB , environment-based config, basic DevOps.
Enterprise API integrations - OAuth flows, REST/SOAP.
Systems thinking - Trace data across 3+ loosely-coupled services, anticipate failure points before they hit production, and debug cross-service issues methodically rather than by instinct.


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