Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability.
Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers.
Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs.
Embed robust security controls to protect sensitive data and ensure secure access to AI services.
Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence.
Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation.
Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development.

6+ years of professional software engineering experience, including 3+ years working directly on AI/ML systems or platforms.
Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management).
Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
Proficient in securing APIs, managing authentication/authorization and data privacy practices.
Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.
Experience working in Agile teams and collaborating across global R&D locations
Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation
Demonstrated experience with AI frameworks, tools, and Python

Senior Member of Technical Staff, AI

Key skills