Ema

The AI/Data Resident program offers final-year students a six-month opportunity to build machine learning, generative AI, backend, and data engineering solutions for enterprise applications. Residents work remotely during the academic year and summer, with high performers potentially receiving full-time offers.

Help measure and improve healthcare AI agents operating in production by identifying quality gaps and designing experiments that improve patient outcomes. This part-time role combines Python-based agent development, analytical investigation, and collaboration with clinical experts.

Build and deploy agentic automation directly inside customer organizations, owning the journey from process discovery and technical solutioning through demos, deal support, and production implementation. This highly autonomous role combines engineering, solution architecture, customer engagement, and operational execution across rotating international deployments.

Own a challenging ML or agent-systems problem end to end, working with a senior mentor and real production data. Build, evaluate, and ship systems that improve the performance, reliability, or efficiency of enterprise AI agents.

Build and scale the cloud infrastructure powering Ema’s agentic AI platform, with ownership across deployment, reliability, automation, observability, and security. This hybrid role offers the chance to establish infrastructure foundations in a fast-moving startup.

Own the backend platform infrastructure powering Ema’s enterprise AI systems, from multi-tenant Kubernetes architecture to reliability, observability, and service communication. You’ll build scalable platform components in Golang and Python across major cloud providers and drive performance, security, and operational excellence.

Build scalable backend enterprise software and integrations for Ema’s agentic AI platform using Go, Python, APIs, databases, cloud technologies, and LLM-based systems. This experienced UK-based role combines backend engineering with data pipelines, security, high availability, and enterprise-grade product development.

Build and scale Ema’s cloud infrastructure, deployment systems, observability, and developer platform as its AI-powered enterprise product grows. This hybrid DevOps role combines infrastructure automation, reliability engineering, security, testing, and performance optimization across major public clouds.