CORE SKILLS AND QUALIFICATIONS:

• 10+ years of experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies.
• 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

ABOUT THE ROLE:

We are looking for passionate and skilled Software Developers to join our Core AI Services team. In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.
You will part of the team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up.

KEY RESPONSIBILITIES:

• 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.