You will use Python, JavaScript, Microsoft 365, Power Platform (Power Apps, Power Automate), and APIs to design, build, and enhance internal applications, automations, and AI-powered solutions. This role supports a technology-led company investing in AI and automation by developing internal tools that improve business efficiency and productivity.

Trainees will learn Linux, Git, Docker, CI/CD, AWS, Azure, Google Cloud, and scripting for automation, container orchestration, and IaC. They will build CI/CD pipelines, deploy to cloud environments, manage containers, and implement monitoring and logging. No prior DevOps experience is required.

Lead zero-to-one development of a fintech platform for emerging-market payments, using TypeScript, React, and Node to build ledger, custody, and settlement systems. You'll architect full-stack features integrating digital assets with traditional banking rails.

You will work daily with TypeScript, React, and Python across the full DeepEditor stack. The product is an AI-powered performance editing tool for Hollywood studios. As the technical anchor, you will mentor a growing team of fifteen engineers.

You'll build interactive 3D subsurface visualizations using TypeScript, React, WebGL/Three.js, deck.gl, or Cesium, integrating explainable ML models into a platform for mining decisions. Material Difference is a Cambridge spin-out using explainable AI for critical mineral exploration. As the first product-focused engineer, you'll own the UX and visualization layer.

Build and deploy production-grade agentic systems and RAG pipelines using Python, TypeScript, FastAPI, and React. As a founding engineer, you will lead architectural development of an AI-driven agency model replacing manual workflows with autonomous agents to redefine the global property market.

Build AI-enabled products using Python, TypeScript, Java or Go at a YC-backed AI start-up. Work directly alongside founders to ship customer-facing solutions and shape both product and engineering culture from day one.