Key skills
MicroservicesAIMLGenerative AIGenAILLMRAGAnalytics
About this role
Role Overview
- Build and deploy enterprise-grade Generative AI and ML solutions
- Design scalable AI systems enabling natural language–driven automation and insights
- Develop and implement GenAI workflows for enterprise use cases
- Build LLM-powered applications for:
- Analytics & reporting
- Document intelligence
- Design and implement advanced RAG (Retrieval-Augmented Generation) pipelines including:
- Embeddings
- Vector search
- Ranking and grounding mechanisms
- Build and expose AI capabilities via REST APIs and microservices
- Implement output validation, monitoring, and evaluation frameworks for production reliability
Requirements
- Strong understanding of AI system evaluation, monitoring, and guardrails
- B.Tech / B.E. (Preferably from Tier-1 institutes)
Tech Stack
- Microservices