About the role
We are looking for a Senior AI Engineer to design, build, and maintain our AI-based products, working closely with product, data, and engineering to ship reliable, production-grade AI capabilities.
What you will do
- Build and maintain backend services/APIs for AI features in production.
- Monitor, debug, and iterate on deployed models/pipelines based on production performance and user feedback.
- Optimize LLM inference cost and latency.
- Ensure the adoption of best practices in MLOps, security, and scalability.
- Contribute to evaluation frameworks, including benchmarking, performance metrics, and validation in regulated environments (e.g. medical devices).
- Contribute to robust technical documentation and support compliance with regulatory certification requirements.
- Foster a mindset of curiosity, innovation, and technical excellence inside the team.
What we are looking for
- Advanced degree in Computer Science, AI, Data Science, Applied Mathematics, Software Engineering, or a related field.
- 5+ years of experience in ML/AI engineering.
- 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 full-stack engineering capability, including building backend APIs/services, integrating models into production workflows, and basic competence in frontend development to test and validate product experiences.
- Ability to own delivery of AI features end-to-end, from spec through production deployment.
- Knowledge of AI ethics and responsible AI is valued.
- Excellent analytical skills, with a sound engineering judgment and hands-on mindset, balancing quality with delivery speed.
- Strong communication and collaboration skills, with experience working in multidisciplinary teams and regulated environments.
- Work proficiency in English.
