About this role

Write clean, well-tested, production-ready code while setting high standards and mentoring engineers in AI design and delivery.
Own system design, delivery, and evolution; resolve complex performance, scalability, and integration challenges.
Build and operate reliable infrastructure using practical DevOps and MLOps practices to monitor, optimize, and improve production AI solutions.
Communicate technical decisions clearly to non-technical stakeholders and ensure smooth user experiences.

6+ years of professional software engineering experience with strong backend expertise.
Strong proficiency in Python, with solid understanding of distributed systems, APIs, microservices, and secure software design.
Proven experience integrating AI/LLM-based services into production; experience in ML or computer vision is beneficial but not essential.
Experience with DevOps/MLOps tooling (CI/CD, Docker, Kubernetes, monitoring, logging) and comfort owning complex technical problems end-to-end.

AI Engineer – Contract, Inside IR35

Key skills