Backend Developer- Generative AI Platforms(PL811)

Role Overview Our client in the technology consulting space is seeking a Backend Platform SME specialising in Generative AI platforms who brings strong technical leadership, architectural expertise, and the ability to operate effectively in complex, fast-paced environments. What will your typical day look like? Work in a fast-growing and exciting organisation with professionals who are eminent in their respective field Have challenging and interesting work in a team environment Continue your development throughout your career to reinforce and expand your chosen career path Role Specific Responsibilities: Lead design and development of backend APIs and logic leveraging large language models, Azure Cognitive Services, and Azure Search for AI-powered solutions such as candidate screening and process automation. Drive architectural design and implementation of Generative AI-based platforms, ensuring seamless integration with cloud services and enterprise applications. Automate provisioning of Azure cloud components and machine learning environments for AI Lab platforms. Collaborate with cross-functional teams to identify opportunities for AI adoption, conduct feasibility analysis, and deliver high-impact solutions. Take ownership as the first point of contact for platform troubleshooting, technical guidance, and best practices, ensuring swift resolution and stakeholder satisfaction. Manage production issues, prioritise incidents, and deliver rapid resolutions whilst continuously improving system performance, monitoring, privacy, and security. Oversee technical backlog, estimation, and sprint planning as an onshore technical lead, driving discussions and taking charge during critical situations. Provide clear communication and direction to technical teams, demonstrating vocal and assertive leadership in high-pressure situations. Required Skills: Strong hands-on experience with MS Copilot Studio and Google Gemini. Proficiency in backend development and API design. Experience integrating cloud and AI services. Solid understanding of system architecture, scalability, security, and monitoring best practices. Demonstrable experience automating cloud infrastructure and provisioning machine learning environments (preferably Azure). Proven ability to lead technical teams and take initiative in Agile/Scrum environments. Excellent problem-solving, communication, and stakeholder management skills. Demonstrated ability to be vocal, assertive, and take charge in high-pressure situations. Preferred Skills: Experience in HR tech or recruitment automation projects. Azure or other relevant cloud certifications. Background in enterprise-scale platform development. Experience managing production systems with critical uptime requirements. Duration: 6 month contract Work Model : Hybrid (1 day onsite) --- Questions: - Full name - Email address - Resume/CV - Cover letter - Phone - Availability - Immediate - 2 weeks notice - 3 weeks notice - TBD - Hourly Rate (in the currency of the country in which you reside) -

By submitting your application you are agreeing that we (Paralucent) may contact you via email and/or phone for commercial purposes related to this and similar future opportunities.

- Do you have hands-on experience with MS Copilot Studio and Google Gemini? - How many years of experience do you have automating Azure cloud infrastructure and provisioning ML environments? - How many years of backend development experience do you have with REST APIs and either Python or Node.js?