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AI Engineer

Job in Johns Creek, Fulton County, Georgia, USA
Listing for: Tata Consultancy Services Limited
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Python, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 140000 USD Yearly USD 120000.00 140000.00 YEAR
Job Description & How to Apply Below

Role Profile

Location:

Johns Creek, GA

Experience:

5 - 10 years

Salary Range: $120,000 - $140,000 per year

Responsibilities
  • 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, Big Query, and enterprise systems
  • Implement guardrails, access controls, and monitoring
  • Optimize latency, cost, and reliability
Required

Skills & Qualifications
  • 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 in Supply Chain / Transportation (e.g., logistics, TMS, routing, shipment visibility)
  • Able to build rapid POCs demonstrating IAM/Secure service integration
  • Agents interacting with client’s APIs, data platforms, and operational systems
  • MCP-based tool integrations for internal systems
  • Develop reference implementations using Agent Studio / AI Studio or rapid prototyping tools
  • Enterprise copilots or operational AI assistants
  • Gemini models
  • GCP AI Agentic capabilities (or Azure AI Agentic capabilities as an alternative)
  • Create debugging, observability, and evaluation frameworks for agent behavior
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