AI Engineer

Our mission Better healthcare outcomes depend on turning data into intelligence that can be trusted and acted on. LOGEX holds financial, operational, clinical and pathway data for healthcare providers across Europe, and AI is becoming central to how we turn that data into value — in our products and in how we work. We are building that capability deliberately, with the rigour a regulated healthcare-data business demands. This is a hands-on building role — you will help shape LOGEX’s AI journey and deliver AI capabilities into our products, with the teams. The role As AI Engineer, you will help shape and deliver LOGEX’s AI journey — building applied AI capabilities into our products and, where useful, into how we work. You will turn AI use cases into working, reliable software: integrating LLMs and applied AI, building pipelines, and applying machine learning where it fits the problem. The emphasis is on delivering dependable, in-product AI capabilities with the teams, and making sure what you ship is tested, monitored and dependable enough for healthcare data. You will work closely with the AI Architect, data engineers, platform and product teams, and play a central part in turning the AI direction into real features customers use — moving capabilities from prototype to production. What you will own In-product AI capabilities. Design, build and ship AI capabilities into LOGEX’s products with the teams — from idea through to integrated, working features that customers use. LLM and applied AI development. Build with modern AI approaches — LLM integration, retrieval-augmented generation, prompt and evaluation design — and apply machine learning where it fits the problem. Production reliability (MLOps / LLMOps). Make AI dependable in production — deployment, monitoring, evaluation, versioning and continuous improvement of the capabilities you build. Quality, safety and compliance. Build AI that is tested, evaluated, secure and privacy-preserving, appropriate to a regulated healthcare-data environment. Your impact and responsibilities • Build and ship in-product AI capabilities with the product and engineering teams • Integrate LLMs and applied AI — RAG, prompting, evaluation — into real product features • Help turn LOGEX’s AI direction into working, reliable software • Build evaluation, testing and monitoring into AI capabilities so they are reliable and observable • Deploy and operate AI in production (MLOps / LLMOps), and improve it over time • Prepare and work with data for AI, in partnership with data engineering • Apply machine learning where it fits the problem, alongside LLM-based and applied-AI approaches • Write clean, well-tested code and take part in code reviews • Build AI capabilities that are secure, privacy-preserving and compliant (GDPR and similar) • Work with the AI Architect to follow shared patterns, standards and guardrails • Apply AI to internal engineering, QA and operational workflows where it adds value