Company Description
Exaze is dedicated to providing top-tier digital solutions and technology services to organizations of all sizes. Our specialized team, with deep expertise in business domains and digital technologies, helps organizations accelerate their Digital Transformation by leveraging Analytics & AI. We focus on enabling customers to outpace their competitors, become leaders in their sectors, and make informed business decisions using data-driven insights.
The ideal candidate will have:
- A solid full stack engineering background with experience in C#, .NET, SQL, Python, TypeScript, Azure PaaS.
- Extensive experience designing and developing robust, scalable applications and high-traffic APIs.
- Experience of Azure AI Foundry and Azure AI Services for building, deploying and managing AI applications and agents at scale.
- Skills in prompt engineering and chaining techniques to optimize LLM outputs, including few-shot examples, function calling, and response formatting for production use.
- Experience in building AI-driven user interfaces using modern frameworks (e.g. React, Angular), with real-time interaction powered by LLM backends.
- Hands-on experience using AI coding copilots (e.g. GitHub Copilot, ChatGPT) to accelerate development, reduce boilerplate, and improve code quality.
Role and key responsibilities:
- Collaborate with stakeholders, business analysts, architects and engineers to design, develop, test and implement AI enabled automated solutions.
- Write clean code that is secure, testable and performance oriented
- Participate in code reviews and peer programming sessions to contribute to the team&aposs overall improvement.
- Communicate with internal enablement teams and third-party vendors to integrate new technology and AI enablement into the business.
Core skills and knowledge
- Knowledgeable of software engineering fundamentals from design, coding and testing through to deployment and monitoring.
- Solid understanding of C#, .Net, Python, SQL and Typescript.
- Extensive experience using Azure Platform-as-a-Service (PaaS) offerings, including App Services, Container apps, Azure Functions, Key Vault, Entra ID, Azure AD B2C, Log Analytics, Hybrid Connections/ExpressRoute, and Azure API Management (APIM).
- Experience utilising OpenAI / Azure AI Service Apis and building models, tools and services with Azure AI Foundry.
- Designing and testing prompt-based workflows, including integration with frameworks i.e. Semantic Kernal.
- Good experience with Database and ETL technologies i.e. SQL, Azure Cosmos DB, Azure Data Factory, Azure Data Lake, Power Automate, Microsoft Fabric.
- Experience with infrastructure as codei.e. Terraform / Bicep
- Proficient in developing front-end web applications using frameworks such as Angular or React with TypeScript, including implementing state management.
- Good knowledge of HTML, CSS and JavaScript.
- Good experience of applying AI productivity tools (e.g. ChatGPT, Gemini, Copilot in Microsoft 365) in daily workflows for task automation, documentation, and planning.
- Understanding of ETL automation and use in business processes.
Job Location:
