TL;DR
Senior Net Engineer (AI): Designing and delivering production-ready AI-powered solutions within the Microsoft ecosystem for financial services. With an accent on AI agents, LLMs, and RAG architectures integrated with real-world data and business processes. Focus on building scalable, secure, and cost-effective AI systems, architectural decisions, and technical leadership.
What you will do
- Architect and build AI agent-based systems using .NET and Microsoft AI services.
- Design and implement agent workflows with Microsoft Semantic Kernel.
- Build RAG pipelines using vector databases and embeddings.
- Integrate AI components with enterprise APIs, databases, and services.
- Deploy and operate AI solutions on Microsoft Azure.
- Provide technical leadership and mentor other developers.
Requirements
- Professional working proficiency in English.
- Strong commercial experience with .NET / .NET Core.
- Solid SQL and relational database design experience.
- Hands-on experience with Microsoft Azure.
- Practical experience building LLM-powered applications or AI agents.
- Experience with Microsoft Semantic Kernel or similar agent frameworks.
- Understanding of vector databases, embeddings, and RAG patterns.
- Experience with REST APIs and distributed systems.
- Ability to work independently and take ownership of delivery.
Nice to have
- Experience with Azure OpenAI, Azure AI Studio, or Microsoft Foundry.
- Docker / Kubernetes experience.
- Exposure to non-Microsoft AI tooling (LangChain, LlamaIndex, etc.).
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