AI/ML Developer Job Title: AI Developer (Generative AI / Agentic AI) Org: SEI IMS ATOM Level: AI Developer Role Summary 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.

Key Responsibilities 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.

Required Qualifications Experience 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 Must-Have Technical Skills Python (robust) ; 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. Preferred / Nice to Have (Keep Optional for Hiring) Familiarity with FastAPI/Flask, Docker, CI/CD, and production monitoring patterns. Exposure to financial services or regulated data environments.

Behavioral Competencies

Strong ownership and problem-solving; can translate requirements into working, testable software. Collaborative—works effectively with architects, product owners, and operations partners. Continuous learning mindset in GenAI and automation.

Experience Level Senior Level

📌 Artificial Intelligence Developer - Generative and Agentic AI (Gurugram)
🏢 NTT DATA Global Delivery Services
📍 Gurugram