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Skills: Artificial Intelligence. Experience: 4 - 12 Years. Qualification: Bachelor Of Engineering\n\n01.Job Description - GenAI\nDeveloper\n\nRole\nSummary\n\nGenAI\nDeveloper to build LLM-powered applications and agentic workflows (RAG,\ntool/function-calling, evaluation/guardrails) that integrate with enterprise\nsystems and data securely and reliably.\n\nKey\nResponsibilities\n\nDevelop\nGenAI features: prompts, tool/function calling, agents, and workflow\norch estration (plan→act→verify)\nBuild RAG pipelines: chunking, embeddings, retrieval, grounding, and\ncitation-ready responses\nIntegrate with APIs and data sources (REST/GraphQL, databases, files,\nSharePoint/ServiceNow, Databricks, etc.)\nImplement evaluation, safety and quality controls: tests, red-teaming,\nhallucination handling, and prompt/version management\nCollaborate with product/SMEs to convert use-cases to user stories;\ndocument design and support releases\n\nMust-Have\nSkills\n\nStrong\nprogramming in Python and/or .NET/JavaScript; clean code, debugging, and\nperformance\nGenAI fundamentals: LLMs (Gemini / Open AI), prompting, RAG, embeddings,\ncontext windows, token/cost awareness\nIntegration: REST APIs, OAuth2, JSON, webhooks; 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