AI Engineer

Tata Consultancy Services Limited
Johns Creek, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 140K

Job location

Johns Creek, United States of America

Tech stack

Java
API
Artificial Intelligence
Azure
Google BigQuery
Databases
Software Debugging
Identity and Access Management
Python
Routing
Rapid Prototyping Process
Standard Sql
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.

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