Why join us?

We help medical doctors work more efficiently and deliver better patient care by giving them access to a secure, AI-powered clinical co-pilot.

Tonic Easy Medical is conquering new markets, building even more amazing AI tools and the team is getting larger! Join us for an exciting career move in a fast-growing scale-up shaping the future of digital health.

What do we expect?

We are looking for a Senior AI Engineer to lead our R&D initiatives in AI/ML. In this role, you will drive innovation, prototype breakthrough solutions, and help shape the future of our AI-powered products.

Responsibilities:

Lead Research & Development (R&D) initiatives in AI/ML, with a focus on new algorithms, model architectures, and advanced techniques for possible applications in our AI products.
Define and drive the teams innovation initiatives, ensuring continuous exploration and experimentation with Agentic AI, RAGs, multimodal AI, and other emerging fields.
Design and prototype end-to-end proofs of concept (PoCs), validating technical feasibility before full-scale implementation.
Ensure the adoption of best practices in MLOps, security, and scalability, from experimental research to production deployment.
Establish and maintain rigorous scientific evaluation frameworks, including benchmarking, performance metrics, and validation in regulated environments (e.g. medical devices).
Foster a mindset of curiosity, innovation, and technical excellence inside the team.
Contribute to robust technical documentation and support compliance with regulatory certification requirements.

Who you are:

You have:

Advanced degree (MSc or PhD preferred) in Computer Science, AI, Data Science, Applied Mathematics, Software Engineering, or a related field.
7+ years of experience in ML/AI engineering, with a strong track record across applied research, prototyping, and product innovation.
Proficiency in python and modern ML/GenAI frameworks such as LangChain (or equivalents), with practical experience integrating LLMs into scalable product workflows (e.g., vector databases, embedding pipelines, orchestration, tracing, observability).
Solid engineering capability across full-stack prototyping, including building backend APIs/services, integrating models into production workflows, basic competence in frontend development to quickly test and validate product experiences
Ability to lead innovation initiatives from research through to delivery of impactful product solutions.
Track record of technical publications, patents, open-source contributions, or other peer-recognized outputs in ML/AI are valued.
Knowledge of AI ethics and responsible AI is valued.
Excellent analytical skills, with a strategic vision and hands-on mindset, balancing scientific exploration with practical product delivery.
Strong communication and collaboration skills, with experience working in multidisciplinary teams and regulated environments.
Work proficiency in English.