NTT DATA is looking for an AI Developer to join our team. You 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 and Architects to translate solution designs into secure, scalable implementations.
What You'll Do
- 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, and 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 and patterns.
- Enterprise integration: Integrate AI services with internal systems via APIs, auth, and approved access controls; follow enterprise engineering standards.
- Quality & monitoring: Add logging and telemetry and participate in evaluation and testing to catch regressions and ensure stable production behavior.
- Developer productivity: Use coding assistants to accelerate development while maintaining clean code and reviews.
What We're Looking For
- 5+ years total IT and software engineering experience with enterprise applications, APIs, and services.
- 2+ years hands-on AI/ML/GenAI experience, including building or supporting AI solutions.
- Python proficiency; ability to build services, scripts, and automation.
- Experience with LLMs (APIs and providers) and understanding of risks like hallucinations and quality control.
- Hands-on RAG framework experience (vector database, retrieval, and grounding loop).
- Exposure to Agents and 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.
Technical Stack
- Python, LLMs, RAG frameworks
- Vector databases, FastAPI/Flask
- Docker, MCP servers
Team & Environment
You will work with Tech Leads and Architects.
Work Mode
This role is based locally in Bangalore, Karnātaka, India.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
