Job Opportunities API

About Us Do you think Artificial Intelligence is changing the world? So do we. At Gemmo, we don’t just build models: we help Fortune 200 companies like Novartis and Broadridge harness the power of AI to generate real, measurable impact. We are a Machine Learning and Computer Vision startup founded in 2020, headquartered in Dublin, Ireland, with an AI Lab in Milan, Italy. Our expertise spans Machine Learning and Generative AI for financial services and Computer Vision for life sciences. We build custom AI solutions that combine automation with human insight — first exploring the highest-impact opportunities, then designing and deploying tailored solutions, and finally helping improve and maintain them over time. We believe in responsible, pragmatic AI: systems that integrate into real workflows, provide measurable value, and remain under your control. Our Team Machine Learning & Engineering: 14 people, including 2 Ph.D.s Business & Strategy: 3 people Leadership: 2 people A lean, technical-first team — and we’re growing. We’re looking to add 5 new tech roles before the end of the year. The Role The Head of Engineering is the de facto technical team lead for Gemmo’s software development function. It is a hands-on leadership position for someone who loves building great software and helping talented people do the same. You will be the primary technical point of reference for the engineering team, own software delivery quality, liaise directly with clients on technical matters, and work closely with the Chief AI Officer to ensure that AI-driven products are architected and executed correctly. What You Will Do At Gemmo, the Head of Engineering is not a figurehead. You will make real technical decisions, review real code, and have real conversations with clients about architecture. Here’s what that looks like day to day: Lead and coach a cross-functional team of researchers, backend developers, and data scientists — acting as the team’s technical conscience Own end-to-end software delivery: system design, code quality, testing discipline, PR reviews, and deployment practices Design and document cloud architecture for client projects (primarily Azure), taking responsibility for service selection, cost optimisation, and scalability Manage direct relationships with technical stakeholders at client organisations, translating business requirements into clear engineering plans Liaise with the Chief AI Officer on AI system design, evaluation frameworks (train/validation/test governance), and product direction Establish and enforce engineering best practices across the team: coding standards, branch strategy, CI/CD, monitoring Identify and unblock technical risks in ongoing projects, particularly multi-agent pipelines and LLM-integrated products Hire, onboard, and mentor software developers; maintain a culture of technical excellence and intellectual curiosity Contribute to technical proposals and scoping documents for new client engagements Tech Stack We use a mix of modern tools and languages. As Head of Engineering, you will govern architecture decisions across our full stack:  Languages: Python, TypeScript, SQL   Frameworks: PyTorch, XGBoost, ONNXML  LLM APIs: OpenAI, Anthropic (Claude), Google Gemini Frameworks: FastAPIAPI  Snowflake, Postgres, Azure-managed storage (blob, NoSQL, relational)  Cloud: Azure  Engineering Practices: Git workflows, CI/CD pipelines, automated testing, PR review discipline, branch strategy How We Work We’re a small team, which means no bureaucracy, no silos, and no waiting three weeks for a decision. Everyone is expected to communicate clearly, move fast, and take ownership. Communication We run two short standups every day — a 15-minute morning sync to align on daily priorities. Everything else lives in writing: project documentation on Linear and GitHub, async conversations on Slack