Key Responsibilities AI & Prompt Engineering Design, test, and optimize prompts for Large Language Models to support Bray use cases such as: Internal copilots and AI assistants Knowledge search and summarization Workflow and decision support Apply prompt engineering techniques including structured prompting, few-shot learning, prompt chaining, and context optimization. Evaluate AI output quality, reliability, and cost; iterate using metrics, testing, and business feedback. Collaborate with business stakeholders and IT teams to translate real operational needs into effective AI solutions. Document prompt patterns, standards, and best practices aligned with responsible AI principles. Frontend Development Build and maintain modern web applications using ReactJS/Angular. Develop intuitive user interfaces that integrate AI features such as chat experiences, intelligent forms, and AI-assisted workflows. Ensure frontend solutions meet enterprise standards for performance, security, accessibility, and usability. Work closely with product owners, user-centric solutions. Backend Development Design and implement scalable backend services using C#, ASP.NET Web API, and Python. Develop RESTful APIs to support frontend applications and AI integrations. Integrate AI models and services into backend systems using APIs and SDKs. Implement authentication, authorization, logging, error handling, and monitoring. Write clean, maintainable, and testable code following Bray’s development standards. Cloud & Azure Responsibilities Deploy, configure, and manage applications on Microsoft Azure. Leverage Azure services such as App Services, Azure Functions, Azure SQL, Cosmos DB, Storage Accounts, and Key Vault. Integrate Azure OpenAI and other Azure AI services where appropriate. Implement CI/CD pipelines and cloud best practices for availability, security, and cost optimization. Required Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience). 3+ years of professional experience in software development. Hands‑on experience with Prompt Engineering and Large Language Models. Strong frontend experience with ReactJS and/or Angular. Solid backend development experience with C# / ASP.NET Web API and Python. Experience building and consuming RESTful APIs. Practical experience deploying and supporting applications in Microsoft Azure. Proficiency with Git and collaborative development workflows. Strong analytical, problem‑solving, and communication skills. Preferred Qualifications Experience with Azure OpenAI, Microsoft Copilot Studio, or AI agent solutions. Familiarity with enterprise system integration and data‑driven applications. Knowledge of AI governance, data privacy, and security considerations. Experience working in manufacturing, industrial, or enterprise IT environments. Exposure to DevOps practices and cloud‑native architectures. #J-18808-Ljbffr