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