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As our next AI Product Developer, you will contribute to solving meaningful challenges across the life sciences industry. We offer specialised management consulting services, working with top-tier life sciences companies as well as biotech startups — locally and globally. From strategy development to hands-on implementation, we support our clients were impact matters most.
Job Responsibility
Design, build, and ship AI-powered tools that help life science teams create, review, and manage critical documents and data
Build features such as grounded retrieval, summarisation, document comparison, question answering, and content classification with traceability back to source
Design and implement scalable APIs, services, integrations, and deployment platforms
Ensure solutions are secure, auditable, and scalable in regulated cloud environments (AWS, Azure, GCP)
Collaborate closely with clinical, regulatory, quality, and commercial experts to understand their workflows and implement products that solve real business problems
Requirements
Strong Python skills and solid software engineering fundamentals
Hands-on experience with at least one major cloud (AWS, Azure, or GCP)
Strong software architecture and backend engineering experience, including production APIs and service design
A track record of building robust, secure, scalable applications and integrating AI/LLM engines into them cleanly
Comfort with containerisation (Docker, Kubernetes), CI/CD, infrastructure-as-code, and cloud-native deployment
Experience designing for security, multi-tenancy, and auditability
Working knowledge of databases and data engineering, including vector databases and vector search technologies
Awareness of LLMOps practices for taking AI-based systems into production and operating them successfully
Full-stack experience (e.g. TypeScript/React) is a plus but not required
Strong communication skills in English
Nice to have
Understanding of pharmaceutical clinical and regulatory documents and workflows
Awareness of GxP, 21 CFR Part 11, GDPR, HIPAA, and computer system validation
Experience with semantic computing and document structuring
Experience deploying secure, compliant applications in regulated cloud environments
Experience with life science upstream source systems such as Veeva
What we offer
Support for health and wellbeing, covering physical, mental, and social needs
Flexible ways of working, built on trust, autonomy, and balance
Ongoing learning and professional development throughout your career
A modern work setup, with the tools and equipment needed to do great work
Recognition of performance and impact, linked to contribution and results
The opportunity to work on challenges that make a meaningful difference for patients and healthcare systems worldwide