AI Engineer

Tata Consultancy Services Limited

Johns Creek, GA, United States

25 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$120,000.0 - $140,000.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

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

+9 more

Enterprise Software Applications Chatbots Large Language Models Multi-Agent Systems Backend Operational Systems Data Management Virtual Agents GPT

Job 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

Requirements

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

Benefits & conditions

Pulled from the full job description

Pet insurance
Health insurance
Vision insurance
Dental insurance
Commuter assistance, * 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 & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.