Gen Ai solution engineer

Role 1

• 10+ years of experience in software/ cloud engineering, AI, data engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.
• Experience delivering enterprise AI, or GenAI solutions into production environments.
• Hands-on expertise to develop and deploy applications on Azure, including services such as App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar components
• Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.
• Strong Python development skills.
• Experience building REST APIs, microservices and implementing cloud-native applications.
• Strong understanding of software architecture principles and design patterns.
• Experience building containerized applications using Docker and Kubernetes technologies.
• BS or Master’s degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.

Role 2

• 10+ years of experience in software/ cloud engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.
• Experience with modern frontend development experience using react, node, next, Angluar or similar technologies.
• Experience integrating frontend applications with Azure-hosted APIs and AI services.
• Proven experience integrating enterprise applications with Microsoft Entra ID, identity management platforms, role-based access control (RBAC), and secure application architecture practices.
• Hands-on expertise to develop and deploy applications on Azure, including services such as App Service, Azure Functions, Container Apps, AKS, Storage, Key Vault, API Management, or similar components
• Strong understanding of user experience design, application usability, and enterprise web application architecture.
• Experience with data visualization frameworks such as D3.js, Plotly, Highcharts, Power BI Embedded, or similar technologies
• Python development skills will be a plus.
• Experience building REST APIs, microservices and implementing cloud-native applications.
• Experience building containerized applications using Docker and Kubernetes technologies.
• BS or Master’s degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.