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].