Teams at Pi School

Develop and operate production-grade machine learning systems involving LLMs, multimodal models, and deep learning. Responsibilities include building backend services and APIs, managing CI/CD, testing, deployment, monitoring, and optimizing data pipelines, GPU workloads, inference latency, and costs. The role collaborates with AI researchers to productionize prototypes, maintain scalable cloud or HPC deployments, and support open-source releases with robust documentation and packaging.

Develop and execute digital promotion strategies across corporate and research initiatives. Create channel-specific content, manage social media, newsletters, email campaigns, and event promotion. Support lead generation by managing the pipeline, launching Google Ads and Meta Ads campaigns, tracking performance, and reporting results. Collaborate with communications colleagues while independently managing multiple projects.

Build the agentic layer of EVE, an open-source Earth Observation AI platform for ESA. Responsibilities include designing LangGraph orchestration, developing MCP servers and clients, implementing A2A communication, creating specialized sub-agents, integrating ESA and EO services, evaluating agent performance, prototyping research ideas, and producing documentation and tutorials.