Senior AI Application Engineer (.NET)
About the role
We're looking for a Senior AI Application Engineer (.NET) to design, build, and scale intelligent enterprise applications powered by modern AI technologies. This role is ideal for an experienced C#/.NET software engineer who has applied technologies such as LLMs, Retrieval-Augmented Generation (RAG), vector search, and AI agents to solve real-world business challenges. You'll develop secure, scalable, production-ready solutions that enhance search experiences, automate complex workflows, and unlock knowledge across enterprise systems. Rather than building foundational AI models, you'll focus on integrating and operationalizing AI within enterprise-grade applications, transforming emerging technologies into impactful solutions that deliver measurable business value.
Responsibilities
- Design, build, and maintain AI-powered enterprise applications using C#, .NET, cloud-native technologies, and LLMs.
- Develop and optimize RAG-based solutions using enterprise data, embeddings, and vector search to enable relevant, context-aware experiences.
- Integrate AI capabilities through AWS Bedrock or similar platforms, including prompt engineering, guardrails, and safety controls that improve quality and reliability.
- Build conversational and agentic experiences that coordinate tools, functions, and multi-step reasoning, including MCP tools, functions, and server integrations.
- Partner with product, architecture, and engineering teams to deliver scalable, maintainable AI systems and establish strong evaluation, observability, and monitoring practices.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.
- Strong programming and system design skills in .NET or Java with experience building APIs and cloud-native backend services.
- 5+ years of professional software engineering experience developing enterprise applications using C# and .NET.
- Strong hands-on experience with RAG architectures, embeddings, vector databases, semantic search, and cloud AI platforms such as AWS Bedrock or equivalent.
- Experience designing agentic workflows, integrating MCP tools and servers, and building AI experiences for chat or conversational user interfaces.