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AI/ML Developer

NTTD Info Pro Ser Pte Ltd · Gurugram

📅 04/08/2026
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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 solutionsincluding RAG-based assistants and agentic workflowsthat 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 (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.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.Collaborativeworks effectively with architects, product owners, and operations partners.Continuous learning mindset in GenAI and automation. .
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