About this role
Sabio Group is a trusted expert in AI, Contact Centre and Data. We design, build and run automation‑led customer experiences for leading brands, combining deep domain expertise with modern engineering and a consulting mindset. We’re collaborative, curious and outcomes‑driven, and we invest in people who want to learn and grow in a supportive, inclusive environment. Role Purpose We are looking for a Senior Software Engineer (Python) to join our Software Engineering team within the AI Practice. This role will be instrumental in engineering, enhancing and supporting a real‑time voice application underpinned by Generative AI technologies. You will contribute across both project delivery and production support , including participation in an out‑of‑hours callout rota . The role focuses on building complex asynchronous systems using modern Python frameworks, integrating enterprise platforms, and ensuring reliable operation of a mission‑critical solution for a major financial services client. This role is customer‑facing and will include direct engagement with client technical teams, solution architects and delivery stakeholders. Design, build and maintain real‑time voice and AI‑enabled applications using Python and modern async frameworks. Develop and optimise backend microservices using FastAPI, Uvicorn, Asyncio, Pydantic and SQLAlchemy. Engineer and maintain REST API integrations with external enterprise systems. Implement observability using OpenTelemetry and Azure Application Insights. Leverage Microsoft Azure services including App Service, Azure Cache for Redis, Azure Speech Services, Azure OpenAI (PTU), Microsoft SQL, Key Vault and Storage Accounts. Contribute to CI/CD pipelines using Azure DevOps. Participate in an out‑of‑hours callout rota to support critical customer operations. Provide technical guidance to customers, including troubleshooting, solution walkthroughs and implementation support. Collaborate with cross‑functional Sabio teams across AI, Engineering and Delivery. Maintain high code quality using Pytest, Alembic migrations and peer review practices.