We are seeking a highly skilled and hands-on AI Solutions Engineer / Forward Deployed Engineer (FDE) with strong US Healthcare domain expertise and experience building Generative AI / RAG solutions on Azure. The ideal candidate combines a strong software engineering foundation in Python with practical experience developing RAG applications using LangChain, LangGraph, LlamaIndex or similar frameworks.

The engineer will work directly with business and healthcare stakeholders to understand business workflows, identify opportunities for AI-driven transformation, solutionize complex problems, and build production-ready solutions. The customer has an established .NET application ecosystem, so experience in C#/.NET is preferred for integrating and modernizing existing applications with current GenAI capabilities.

Key Responsibilities

Partner directly with US Healthcare business stakeholders to understand workflows, pain points, requirements and business objectives.
Translate healthcare business problems into scalable AI/GenAI technology solutions.




Design and develop production-grade RAG applications using enterprise and healthcare data.
Build GenAI solutions using Lang Chain, Lang Graph, Llama Index or comparable frameworks.
Develop backend services and AI integrations using Python and C#/.NET.
Integrate GenAI/RAG capabilities with existing .NET-based enterprise applications.
Design retrieval pipelines, document ingestion, chunking, embeddings, metadata strategies and context-retrieval workflows.
Develop secure and scalable AI applications using Azure cloud services.
Build REST APIs, microservices and application integrations required to operationalize GenAI solutions.
Work with frontend teams to develop or integrate user-facing experiences using React; candidates with Angular experience should be comfortable transitioning to React.
Collaborate with architecture, engineering, product and business teams throughout the solution lifecycle.
Participate in solution discovery, te

📌 AI Engineer (Bengaluru)
🏢 Ascendion
📍 Bengaluru