Backend Developer- Generative AI Platforms

Our client in the technology consulting space is seeking a Backend Platform SME specializing in Generative AI platforms who brings strong technical leadership, architectural expertise, and hands-on experience building scalable backend solutions on Azure. The ideal candidate will have deep expertise in API design, cloud-native architecture, GitHub platform management, and AI-enabled application development. What will your typical day look like? • Work in a fast-growing and innovative organization alongside highly skilled professionals. • Contribute to challenging and impactful projects in a collaborative team environment. • Continue your professional development through exposure to emerging technologies and enterprise-scale solutions. Key Responsibilities • Lead the design, development, and optimization of backend services, APIs, and platform components supporting Generative AI solutions. • Architect and implement scalable, secure, and high-performing solutions leveraging Azure services, Azure AI capabilities, and enterprise integrations. • Design and manage API frameworks, integration patterns, and backend services that enable AI-powered business applications. • Establish and maintain GitHub platform standards, CI/CD pipelines, branching strategies, and development best practices. • Automate provisioning and deployment of Azure infrastructure and platform components using Infrastructure-as-Code and DevOps practices. • Collaborate with cross-functional teams to identify AI opportunities, assess technical feasibility, and deliver innovative solutions. • Serve as the technical escalation point for platform issues, troubleshooting, and production support. • Drive technical backlog refinement, estimation, sprint planning, and architecture discussions as a senior technical lead. • Ensure platform reliability, security, monitoring, performance, and operational excellence. • Provide strong technical leadership, mentoring development teams and guiding solution builders on platform best practices. Requirements • Strong hands-on experience designing and developing backend applications and enterprise APIs. • Deep expertise with Microsoft Azure, including cloud architecture, deployment, security, monitoring, and platform services. • Experience building and integrating AI-powered applications using Azure AI services and large language models. • Strong knowledge of GitHub platform management, source control strategies, CI/CD pipelines, and DevOps practices. • Experience with cloud infrastructure automation and Infrastructure-as-Code. • Solid understanding of system architecture, scalability, security, and operational best practices. • Proven experience leading technical teams in Agile/Scrum environments. • Excellent communication, stakeholder management, and problem-solving skills. Preferred Skills • Experience with Microsoft Copilot Studio, including governance and best practices for agentic AI solution development. • Experience with Google Gemini or other enterprise AI platforms. • Experience in enterprise-scale platform development and consulting environments. • Azure certifications and/or cloud architecture certifications. • Experience supporting production systems with critical uptime and performance requirements. Hybrid: Onsite 1 day a week

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