Head Of Engineering

About UsDo 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 **, 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 TeamMachine Learning & Engineering: 14 people, including 2 Ph.D.
SBusiness & Strategy: 3 peopleLeadership: 2 peopleA lean, technical-first team — and we're growing.
We're looking to add 5 new tech roles before the end of the year.The RoleThe 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 DoLead and coach a cross?functional team of researchers, backend developers, and data scientists — acting as the team's technical conscienceOwn end?to?end software delivery: system design, code quality, testing discipline, PR reviews, and deployment practicesDesign and document cloud architecture for client projects (primarily Azure), taking responsibility for service selection, cost optimisation, and scalabilityManage direct relationships with technical stakeholders at client organisations, translating business requirements into clear engineering plansLiaise with the Chief AI Officer on AI system design, evaluation frameworks (train/validation/test governance), and product directionEstablish and enforce engineering best practices across the team: coding standards, branch strategy, CI/CD, monitoringIdentify and unblock technical risks in ongoing projects, particularly multi?agent pipelines and LLM?integrated productsHire, onboard, and mentor software developers; maintain a culture of technical excellence and intellectual curiosityContribute to technical proposals and scoping documents for new client engagementsTech StackWe use a mix of modern tools and languages.
As Head of Engineering, you will govern architecture decisions across our full stack:Languages: Python, TypeScript, SQLFrameworks: PyTorch, XGBoost, ONNXMLLLM APIs: OpenAI, Anthropic (Claude), Google GeminiFrameworks: FastAPIAPISnowflake, Postgres, Azure?managed storage (blob, NoSQL, relational)Cloud: AzureEngineering Practices: Git workflows, CI/CD pipelines, automated testing, PR review discipline, branch strategyHow We WorkWe'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.CommunicationWe 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 with dedicated channels per team and project.Rhythm & OrganisationWe work in weekly sprints, so priorities are always clear and nothing drags.
Every Friday morning we run a CEO retrospective — an open conversation about what's working and what isn't.
Once a month, the whole company comes together for a Townhall to share progress, celebrate wins, and discuss where we're heading.Career PathHead of Engineering at a fast?growing AI company is not a ceiling — it's a launchpad.
As we scale, you will have the opportunity to grow into a broader leadership mandate, shape the technical strategy of the company, and build the team that defines how we deliver AI at enterprise scale.We're a fast?growing company.
If you perform, you'll be rewarded quickly and visibly — not in three years after your annual review cycle.Working in Our Milan OfficeThis role is based in our Milan AI Lab.
In?office presence 3 days a week is a firm requirement — we believe the best engineering leadership happens when you're in the room with your team.Office & HoursVia Zuretti 34, Milan, Italy Location:Monday?FridayWorking days: 08:*:30 CETWorking hours: 13:***:00 (flexible)Lunch break:If you are travelling or occasionally working from a client site, that's naturally fine.
But Milan is home base.Selection Proces