Gen AI

01.Job Description — GenAI Developer

Role Summary

GenAI Developer to build LLM-powered applications and agentic workflows (RAG, tool/function-calling, evaluation/guardrails) that integrate with enterprise systems and data securely and reliably.

Key Responsibilities

• Develop GenAI features: prompts, tool/function calling, agents, and workflow orch estration (plan→act→verify)
• Build RAG pipelines: chunking, embeddings, retrieval, grounding, and citation-ready responses
• Integrate with APIs and data sources (REST/GraphQL, databases, files, SharePoint/ServiceNow, Databricks, etc.)
• Implement evaluation, safety and quality controls: tests, red-teaming, hallucination handling, and prompt/version management
• Collaborate with product/SMEs to convert use-cases to user stories; document design and support releases

Must-Have Skills

• Strong programming in Python and/or .NET/JavaScript; clean code, debugging, and performance
• GenAI fundamentals: LLMs (Gemini / Open AI), prompting, RAG, embeddings, context windows, token/cost awareness
• Integration: REST APIs, OAuth2, JSON, webhooks; basic cloud services usage
• Data/security: PII handling, secrets management, logging, and access controls
• SDLC: Git, code reviews, CI/CD basics, Agile delivery