Role & responsibilities
Lead end-to-end development of customer-facing AI applications from architecture design through production deployment.
Recent Product Development
AI Enablement of Existing Products
Performance, Security and Governance

Preferred candidate profile

You Bring:
6+ years in software architecture with 2+ years in production Agentic AI Systems
Proven track record deploying agentic AI solutions at scale
Deep expertise in .NET ecosystem and up-to-date frontend frameworks
Security-first mindset for enterprise applications
Experience with prompt engineering, model fine-tuning, and AI observability
Experience with function calling, semantic search, streaming responses, and AI cost optimization.
AI Frameworks: LangChain, LangGraph, AutoGen, CrewAI,



or similar agentic frameworks
LLM Integration: Anthropic Claude, Azure AI Foundry, OpenAI, AWS Bedrock
Backend: .NET Core (C#), Python,RESTful APIs, microservices architecture
Frontend: Angular, TypeScript, real-time UI for AI interactions
Vector DBs: Pinecone, Weaviate, ChromaDB, or Qdrant
Cloud & DevOps: Azure/AWS, Docker, Kubernetes, CI/CD pipelines
Security: OAuth 2.0, API security, data encryption, compliance (SOC2, GDPR)
Orchestration: Multi-agent workflows, tool calling, RAG (Retrieval-Augmented Generation), Chain of Thoughts

📌 Ai Technical Architect Kolkata (India)
🏢 RGBSI
📍 India