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 modern 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 (Chennai)
🏢 RGBSI
📍 Chennai