Senior AI Engineer

Must Have Technical/Functional Skills

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.

Salary Range: $100,000- $150,000 a year

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-SP1