Systems Developer with AI Expertise

Systems Developer with AI Expertise – Public Healthcare Organization, Stockholm We are seeking a systems developer with AI expertise for an assignment at a public healthcare organization in Stockholm. The assignment is to build an AI-based tool that automatically suggests mappings between medical terms and standardized code systems such as SNOMED CT, ICD-10, and KVÅ. The user enters a clinical finding or local term, and the tool suggests ranked SNOMED CT concepts with justification, which the informaticist then reviews and provides feedback on. The solution is built on LLM and RAG architecture and will be integrated with the client's terminology servers. The work takes place together with informaticists, IT architects, testers, and the client's AI team. Quick Facts Start: September 2, 2026 Scope: Full-time, 100% Location: Stockholm, hybrid, approximately 50% on-site and 50% remote Employment Form: Subcontractor via Lynqa; we handle contracts and billing Assignment Duration: Through December 31, 2026, with an option to extend for 12 months Application Deadline: August 19, 2026 What You Will Do Develop AI-based functionality for automatic mapping of medical terms Implement the solution using LLM and RAG architecture Build APIs and backend components for the AI service, and integrate with terminology resources and code systems Implement logging, traceability, and quality monitoring Contribute to the design of a user interface for validating AI suggestions Document the solution and transfer knowledge to the client's internal team Requirements At least 5 years of documented experience in software development, including at least 3 years focused on AI and machine learning solutions At least 2 years of documented experience working in cloud environments and containerization technologies such as Docker and Kubernetes At least 3 years of documented experience developing end-to-end AI solutions from data collection and processing to model integration and deployment Documented experience developing and deploying solutions based on large language models (LLM) in production environments Experience with RAG (Retrieval-Augmented Generation) and integration of tools and data sources via MCP (Model Context Protocol) Experience with vector databases and semantic search, including embeddings and similarity-based matching Experience integrating AI solutions with APIs, backend systems, and external services Experience developing scalable, secure, and maintainable solutions Strong proficiency in Python and relevant AI/ML frameworks Solid understanding of NLP, including lexical, semantic, and contextual analysis, especially in domain-specific applications Good ability to express yourself in speech and writing in Swedish Meritorious At least 1–2 years of experience working with medical terminologies (SNOMED CT, ICD-10, KVÅ) Experience with healthcare informatics standards (FHIR, HL7) Experience with data governance, terminology management, and information modeling in at least one project Experience developing scalable, secure, and maintainable solutions within regulated operations Application Selection is ongoing and the position may be filled before the application deadline. Questions are answered by Armin Tankovic, [email protected].

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