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Data/IT

Sista ansökningsdag 2026-06-14

AI System Developer

I-Ray IT Solutions ABTidsbegränsad anställningPublicerad 2026-05-15

We are looking for an experienced System Developer with strong AI and Machine Learning expertise for an exciting consulting assignment in Sweden. 📍 Location: Stockholm, Sweden 🏠 Work Model: Hybrid (approximately 50% onsite and 50% remote) You will be part of a collaborative and innovative environment focused on developing intelligent digital solutions and AI-driven platforms. The role involves close cooperation with technical specialists, architects, testers, and cross-functional teams throughout the development lifecycle. Main Responsibilities: • Design and develop AI-based applications and intelligent backend solutions • Build and integrate scalable AI/ML components into enterprise systems • Work with semantic search, embeddings, and intelligent data processing • Develop and maintain integrations with APIs, external platforms, and backend services • Contribute to architecture, deployment, testing, and optimization of AI solutions • Participate in technical planning, implementation, and continuous improvements • Support development of secure, scalable, and maintainable cloud-based solutions Required Qualifications: • Strong experience in software development and AI/ML technologies • Experience developing and deploying AI solutions in production environments • Knowledge of LLM-based applications and modern AI architectures • Experience with RAG (Retrieval-Augmented Generation) concepts • Experience working with vector databases and semantic search technologies • Knowledge of Python and modern AI/ML frameworks • Experience with Docker and Kubernetes • Experience integrating APIs and enterprise backend systems • Understanding of NLP concepts and intelligent text processing • Ability to develop scalable and secure systems Additional Skills Considered Valuable: • Experience within healthcare, medical, or regulated environments • Knowledge of healthcare interoperability standards and terminology systems • Experience with information modeling and data governance • Famil

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