Description

Key Skills: C#, .NET 8/9, ASP.NET Core, Entity Framework, Microservices, Anthropic Claude, RAG Pipelines, Vector Databases, GitHub Copilot, AWS

Good to Have Skills: Prompt Engineering, Agentic workflows, Pinecone, Milvus, pgvector, Azure, Docker, Kubernetes, CI/CD automation, OAuth/OIDC, Secure API Gateways, LLM data compliance guardrails, Corporate Banking domain knowledge.

Roles & Responsibilities:

• Embed with enterprise clients to architect and deploy comprehensive AI solutions for corporate banking applications.
• Build production-ready microservices using .NET 8/9 with C# and Entity Framework for scalable enterprise systems.
• Integrate Anthropic's Claude LLM with RAG pipelines and Agentic workflows for intelligent document processing.
• Scale development workflows using GitHub Copilot and implement automated CI/CD pipelines for continuous deployment.
• Design and implement secure API gateways with OAuth/OIDC authentication and LLM data compliance guardrails.
• Work with vector databases like Pinecone, Milvus, or pgvector to enable efficient semantic search capabilities.
• Deploy and manage applications on AWS or Azure cloud platforms with Docker and Kubernetes orchestration.

Experience Required: 3–8+ years of experience in backend engineering and AI architecture roles

Key Skills

Education

Any Graduate