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NTT DATA Logo NTT DATA · IT - Software Development

AI Developer (Generative AI / Agentic AI)

India, Bangalore · Job Posted March 13, 2026
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Job Description

The AI Developer will build and support production-ready Generative AI solutions—including RAG-based assistants and agentic workflows—that integrate with enterprise data and applications. You will work with Tech Leads/Architects to translate solution designs into secure, scalable implementations with strong engineering practice, observability, and reusable components.

Job Responsibility

  • Build GenAI apps: Implement LLM-based features such as Q&A, summarization, extraction, and classification using prompt engineering and structured outputs
  • Implement RAG pipelines: Build ingestion + chunking + embeddings + retrieval flows using vector databases to ground answers in enterprise knowledge
  • Develop agent workflows: Create agentic automations (tool calling, task routing, multi-step workflows) using common frameworks/patterns
  • Enterprise integration: Integrate AI services with internal systems via APIs, auth, and approved access controls
  • follow enterprise engineering standards
  • Quality & monitoring: Add logging/telemetry and participate in evaluation/testing to catch regressions and ensure stable production behavior
  • Developer productivity: Use coding assistants (e.g., Copilot/Cursor-style) to accelerate development while maintaining clean code and reviews

Requirements

  • 5+ years total IT/software engineering experience (enterprise applications, APIs, services)
  • 2+ years hands-on AI/ML/GenAI experience, including building or supporting AI solutions beyond
  • Python (strong)
  • ability to build services, scripts, and automation
  • Experience with LLMs (APIs/providers) and understanding of risks like hallucinations and quality control
  • Hands-on RAG framework experience (vector DB + retrieval + grounding loop)
  • Exposure to Agents / agentic AI patterns (tool calling, orchestration, task decomposition)
  • Solid engineering fundamentals: APIs, version control, testing, troubleshooting, secure coding practices
  • Experience with MCP servers or MCP-style tool integrations

Nice to have

  • Familiarity with FastAPI/Flask, Docker, CI/CD, and production monitoring patterns
  • Exposure to financial services or regulated data environments
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