AI Platform Engineer

At Qualifyze, our salary ranges are transparent internally, and we aim to follow a similar approach externally. For this role, we’re happy to share a reference point within the band: the expected salary range is around 50,000 – 60,000 €, centered around the median.

Final compensation will depend on experience and performance during the process, with some flexibility within the range.

• 💰 Competitive, annually reviewed compensation package

• 🌴 Country vacation package that increases with your tenure

• 🏋🏽‍♀️ Country-specific benefits offering incl. private health care, fitness and meal allowances

• 🚀 Annual personal development budget to increase your impact

• 🌎 Hybrid working mode, plus up to 3 months of the year work from anywhere.

• 💻 All the best kit and tools to work effectively

• 🎉 Annual in-person all-company event and celebration in Europe

• 👫 Working with an exceptional team, doing some of the best work of your career

We are looking for an AI Engineer to join our Engineering team.

You will help bring AI solutions from prototype to production, building the systems, infrastructure and deployment processes behind our LLM-based and agentic applications. You will take ownership of AI solutions across their lifecycle, from architecture and development to deployment, monitoring and cost optimisation. You will also contribute to the technical practices that support AI development across the organisation.

• Design, develop and deploy production-ready LLM applications, including RAG pipelines, agents and workflow automation.

• Evaluate and select suitable models, frameworks and providers (e.g. OpenAI, Anthropic, Mistral and open-source alternatives) based on the requirements of each use case.

• Develop evaluation processes and benchmarks to measure AI quality, reliability and potential regressions before and after release.

• Design and manage cloud infrastructure for AI workloads using platforms such as AWS, Azure or GCP and Infrastructure as Code.

• Build and maintain CI/CD pipelines for models, prompts and AI services, including automated testing, controlled releases and rollback processes.

• Deploy and scale AI services using containers and orchestration tools such as Docker, Kubernetes or equivalent managed solutions.

• Implement monitoring and observability for AI systems, covering tracing, latency, output quality, drift and potential failure points.

• Establish usage controls and optimise costs through model selection, caching and batching.

• Investigate and resolve production issues across the AI stack.

• Keep up to date with developments in AI and identify techniques and tools that can bring practical value.

Founded in 2019, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,500 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a global network of more than 250 auditors and quality experts.

With a track record of over 4,500 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector.