Senior Full Stack & AI Engineer

Job description

As part of the Architecture, Intelligence & Technology (AI&T) team , this role plays a key part in shaping and delivering Finance transformation initiatives through the development of innovative digital and AI-driven solutions. The Senior Full Stack & AI Engineer will contribute to the configuration and delivery of a newly established squad focused on Finance transformation, supporting the modernization of processes and ways of working across the Global Finance function.

This is a hands-on technical role responsible for the end-to-end development of applications and AI-enabled solutions, including front-end, backend, cloud, DevOps, and AI/LLM integrations. The role will work closely with business stakeholders, architects, and cross-functional teams to deliver scalable, secure, and business-aligned technology solutions.

Responsibilities

• Develop full stack applications using .NET / Python and React, Vue, or Angular
• Design, develop, and integrate

REST APIs

• Develop and support AI/LLM-based solutions using Azure OpenAI, AI Foundry, and related technologies Implement Retrieval-Augmented Generation (RAG) solutions and vector-based search capabilities
• Build document ingestion and vector indexing pipelines Utilize OCR and Document Intelligence technologies for document processing automation Manage CI/CD pipelines, deployments, and DevOps activities
• Collaborate with architects, product owners, and business stakeholders to define technical solutions
• Ensure solution scalability, maintainability, security, and performance
• Support agile delivery practices and continuous improvement initiatives
• Contribute to technical design discussions and problem-solving activities within the squad
• Provide ongoing support, maintenance, monitoring, and enhancement of AI-enabled business applications in production environments
• Contribute to identity and governance-related solutions leveraging Microsoft Entra ID and related technologies

Qualifications

• 5+ years of experience in full-stack software engineering and cloud technologies 1–2 years of hands-on experience with LLM/RAG solutions and AI-enabled applications
• Proven experience delivering end-to-end technical solutions across front-end, backend, cloud, and DevOps environments Experience working within agile delivery environments and cross-functional global teams
• Strong communication and stakeholder engagement skills Focused on delivering high-quality user experiences and business value Fluent in English, with the ability to operate effectively in multicultural environments Required Skills: Full stack development ( C#, .NET, Python, React, TypeScript, Vue, Angular ) REST API design and integration Azure Web Apps, Azure SQL, and Microsoft Entra ID Cloud platforms and DevOps practices Azure DevOps, CI/CD pipeline management and deployments LLM/RAG solution development Azure OpenAI and AI Foundry OCR and Document Intelligence technologies Vector indexing and document ingestion Agile methodologies and collaborative delivery Problem-solving and analytical thinking Stakeholder communication and cross-functional collaboration