About the role
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