Senior LLM Engineer

REMOTE Semantic Kernel.NetB2 English level fluency We're looking for a Senior LLM Engineer to join a new AI-powered initiative with our top account – a US insurance giant from the Fortune 500 list. You’ll work as part of the first AI team, focused on multi-agent orchestration, advanced prompting, and model integration! If you're excited about building cutting-edge multi-agent systems using modern LLM frameworks and want to play a key role in long-term product evolution, we’d love to meet you! In this role you will deal with: Design, develop, and maintain enterprise applications using Microsoft .NET technologies Build and automate workflows using Microsoft Power Automate and integrate with existing systems Implement AI-driven features leveraging Azure OpenAI services, Open-Source LLMs and related frameworks Develop and customize solutions using Semantic Kernel, AutoGen, and Copilot to enhance productivity and automation Collaborate with cross-functional teams to define requirements, develop proof-of-concepts, and deliver production-ready solutions Optimize application performance, scalability, and security in cloud environments Stay current with emerging trends in AI, automation, and .NET ecosystem to recommend best practices and innovative solutions Communication with the customer via email/messengers/calls (English) We'd love to hear from you if you have: 5+ years of experience in Microsoft .NET development (C#, ASP.NET Core, .NET Framework) Hands-on experience with Power Automate for business process automation Experience with Azure OpenAI services and integrating LLM-based solutions Knowledge of Semantic Kernel, AutoGen, and Copilot for AI-driven application development Strong understanding of cloud environments (Azure preferred), APIs, and integration patterns Solid understanding of RAG architectures Excellent problem-solving skills and ability to work in an agile development environment English at B2 level or higher Nice to have: Exposure to DevOps tools and CI/CD pipelines Knowledge of data security, compliance, and in AI implementations in an insurance industry