{"data":{"id":153471,"slug":"systemutvecklare-med-ai-kompetens","type":"job","title":"Systems Developer with AI Expertise","description":"Systems Developer with AI Expertise \u2013 Public Healthcare Organization, Stockholm\nWe 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 KV\u00c5. 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.\nQuick Facts\nStart: September 2, 2026\n\n\nScope: Full-time, 100%\n\n\nLocation: Stockholm, hybrid, approximately 50% on-site and 50% remote\n\n\nEmployment Form: Subcontractor via Lynqa; we handle contracts and billing\n\n\nAssignment Duration: Through December 31, 2026, with an option to extend for 12 months\n\n\nApplication Deadline: August 19, 2026\n\nWhat You Will Do\nDevelop AI-based functionality for automatic mapping of medical terms\n\n\nImplement the solution using LLM and RAG architecture\n\n\nBuild APIs and backend components for the AI service, and integrate with terminology resources and code systems\n\n\nImplement logging, traceability, and quality monitoring\n\n\nContribute to the design of a user interface for validating AI suggestions\n\n\nDocument the solution and transfer knowledge to the client's internal team\n\nRequirements\nAt least 5 years of documented experience in software development, including at least 3 years focused on AI and machine learning solutions\n\n\nAt least 2 years of documented experience working in cloud environments and containerization technologies such as Docker and Kubernetes\n\n\nAt least 3 years of documented experience developing end-to-end AI solutions from data collection and processing to model integration and deployment\n\n\nDocumented experience developing and deploying solutions based on large language models (LLM) in production environments\n\n\nExperience with RAG (Retrieval-Augmented Generation) and integration of tools and data sources via MCP (Model Context Protocol)\n\n\nExperience with vector databases and semantic search, including embeddings and similarity-based matching\n\n\nExperience integrating AI solutions with APIs, backend systems, and external services\n\n\nExperience developing scalable, secure, and maintainable solutions\n\n\nStrong proficiency in Python and relevant AI\/ML frameworks\n\n\nSolid understanding of NLP, including lexical, semantic, and contextual analysis, especially in domain-specific applications\n\n\nGood ability to express yourself in speech and writing in Swedish\n\nMeritorious\nAt least 1\u20132 years of experience working with medical terminologies (SNOMED CT, ICD-10, KV\u00c5)\n\n\nExperience with healthcare informatics standards (FHIR, HL7)\n\n\nExperience with data governance, terminology management, and information modeling in at least one project\n\n\nExperience developing scalable, secure, and maintainable solutions within regulated operations\n\nApplication\nSelection is ongoing and the position may be filled before the application deadline. Questions are answered by Armin Tankovic, armin@lynqa.se.","language":"sv","is_translated":true,"title_original":"Systemutvecklare med AI-kompetens","description_original":"Systemutvecklare med AI-kompetens \u2013 offentlig v\u00e5rdorganisation, Stockholm\nVi s\u00f6ker en systemutvecklare med AI-kompetens till ett uppdrag hos en offentlig v\u00e5rdorganisation i Stockholm. Uppdraget \u00e4r att bygga ett AI-baserat verktyg som automatiskt f\u00f6resl\u00e5r mappningar mellan medicinska termer och standardiserade kodverk som SNOMED CT, ICD-10 och KV\u00c5. Anv\u00e4ndaren matar in en klinisk f\u00f6reteelse eller en lokal term, och verktyget f\u00f6resl\u00e5r rankade SNOMED CT-koncept med motivering, som informatikern sedan granskar och ger \u00e5terkoppling p\u00e5. L\u00f6sningen byggs p\u00e5 LLM och RAG-arkitektur och ska integreras mot kundens terminologiservrar. Arbetet sker tillsammans med informatiker, IT-arkitekt, testare och kundens AI-team.\nSnabbfakta\nStart: 2 september 2026\n\n\nOmfattning: Heltid, 100 %\n\n\nPlats: Stockholm, hybrid, cirka 50 % p\u00e5 plats och 50 % p\u00e5 distans\n\n\nAnst\u00e4llningsform: Underkonsult via Lynqa, vi tar avtal och fakturering\n\n\nUppdragsl\u00e4ngd: Till och med 31 december 2026, option p\u00e5 f\u00f6rl\u00e4ngning 12 m\u00e5nader\n\n\nSista ans\u00f6kningsdag: 19 augusti 2026\n\nVad du ska g\u00f6ra\nUtveckla AI-baserad funktionalitet f\u00f6r automatisk mappning av medicinska termer\n\n\nImplementera l\u00f6sningen med LLM och RAG-arkitektur\n\n\nBygga API:er och backend-komponenter f\u00f6r AI-tj\u00e4nsten, samt integrera mot terminologiresurser och kodverk\n\n\nImplementera loggning, sp\u00e5rbarhet och kvalitetsuppf\u00f6ljning\n\n\nBidra till design av anv\u00e4ndargr\u00e4nssnitt f\u00f6r validering av AI-f\u00f6rslag\n\n\nDokumentera l\u00f6sningen och f\u00f6ra \u00f6ver kunskap till kundens interna team\n\nKrav\nMinst 5 \u00e5rs dokumenterad erfarenhet av mjukvaruutveckling, varav minst 3 \u00e5r med inriktning mot AI- och maskininl\u00e4rningsl\u00f6sningar\n\n\nMinst 2 \u00e5rs dokumenterad erfarenhet av arbete i molnmilj\u00f6er samt containerteknik s\u00e5som Docker och Kubernetes\n\n\nMinst 3 \u00e5rs dokumenterad erfarenhet av att utveckla sammanh\u00e4ngande AI-l\u00f6sningar fr\u00e5n datainh\u00e4mtning och bearbetning till modellintegration och drifts\u00e4ttning\n\n\nDokumenterad erfarenhet av att utveckla och drifts\u00e4tta l\u00f6sningar baserade p\u00e5 stora spr\u00e5kmodeller (LLM) i produktionsmilj\u00f6\n\n\nErfarenhet av RAG (Retrieval-Augmented Generation) samt integration av verktyg och datak\u00e4llor via MCP (Model Context Protocol)\n\n\nErfarenhet av vektordatabaser och semantisk s\u00f6kning, inklusive embeddings och likhetsbaserad matchning\n\n\nErfarenhet av integration av AI-l\u00f6sningar med API:er, backend-system och externa tj\u00e4nster\n\n\nErfarenhet av att utveckla skalbara, s\u00e4kra och f\u00f6rvaltningsbara l\u00f6sningar\n\n\nGoda kunskaper i Python samt relevanta AI\/ML-ramverk\n\n\nGod f\u00f6rst\u00e5else f\u00f6r NLP, inklusive lexikal, semantisk och kontextuell analys, s\u00e4rskilt i dom\u00e4nspecifika till\u00e4mpningar\n\n\nGod f\u00f6rm\u00e5ga att uttrycka dig i tal och skrift p\u00e5 svenska\n\nMeriterande\nMinst 1\u20132 \u00e5rs erfarenhet av arbete med medicinska terminologier (SNOMED CT, ICD-10, KV\u00c5)\n\n\nErfarenhet av standarder inom h\u00e4lsoinformatik (FHIR, HL7)\n\n\nErfarenhet av datastyrning (data governance), terminologif\u00f6rvaltning och informationsmodellering i minst ett projekt\n\n\nErfarenhet av att utveckla skalbara, s\u00e4kra och f\u00f6rvaltningsbara l\u00f6sningar inom reglerad verksamhet\n\nAns\u00f6kan\nUrvalet sker l\u00f6pande och rollen kan tills\u00e4ttas innan sista ans\u00f6kningsdag. Fr\u00e5gor besvaras av Armin Tankovic, armin@lynqa.se.","price":null,"currency":"SEK","status":"active","noindex":false,"location":{"address":"Parkv\u00e4gen 2","full_address":null,"city":"Solna","country":"SE","latitude":59.329323,"longitude":18.06858},"metadata":{"region":"Stockholms l\u00e4n","employer":"Lynqa AB","postcode":"16941","positions":1,"profession":"Systemutvecklare\/Programmerare","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","employer_url":"https:\/\/jobs.lynqa.se","employment_type":"Behovsanst\u00e4llning","occupation_field":"Data\/IT","employer_workplace":"Lynqa","experience_required":true},"user_id":null,"is_sponsored":false,"views_count":0,"ai_views_count":4,"ai_vendor_counts":{"openai":2,"anthropic":2},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"armin@lynqa.se","images":[],"published_at":"2026-08-13T09:36:58+00:00","expires_at":"2027-02-09T23:59:59+00:00","created_at":"2026-08-15T03:35:24+00:00","updated_at":"2026-08-19T02:54:07+00:00"}}