Agentic Engineer

Role overview Build and operate production AI features for a care-navigation product, using large language models, retrieval-augmented generation, and agent workflows to help people find appropriate care. The role spans discovery, architecture, implementation, and live operations, with a focus on balancing answer quality, cost, and latency in a regulated setting. You will collaborate with product and engineering colleagues across Europe and contribute to the direction of the product.

Responsibilities - Design and implement production RAG systems and agent architectures for healthcare navigation. - Develop LLM-powered features that integrate with .NET/C# services and React applications, using AI-assisted coding tools. - Own delivery from exploring a problem and shaping a solution through deployment and ongoing operation. - Tune system quality, cost, and response time for practical use. - Work with product and engineering teams to translate business needs into AI capabilities. - Establish monitoring, evaluation, and iterative improvement practices for LLM-based systems.

Requirements - At least three years of software engineering experience. - Strong programming fundamentals in Python and/or C#/.NET. - Demonstrated experience with agentic workflows or AI-assisted development. - Strong English communication skills for asynchronous collaboration across European time zones. - Ability to build and operate software across backend and frontend integrations.

Nice to have - Familiarity with Elasticsearch, Kubernetes, or Azure. - Experience with LangChain, Pinecone, or other LLM orchestration tools. - Background in healthcare, insurance, or another regulated industry.

Benefits and work setup Remote, full-time work is offered as either permanent employment or freelance B2B. The role offers autonomy and collaboration across Europe, with mentoring and continued learning described as part of the working environment.