Head of Engineering
Gemmo AI Ltd. ·
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 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: FastAPI 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 with dedicated channels per team and project.
Rhythm solid understanding of APIs, microservices, and data pipelines Cloud architecture expertise — Azure preferred; experience with managed services, storage patterns (blob, NoSQL, relational), authentication, and cost modelling System design mindset: comfortable designing distributed systems, reasoning about trade‐offs, and communicating architecture decisions to both technical and non‐technical audiences Fluent in modern engineering practices: Git workflows, code review, automated testing, CI/CD Excellent communication skills — able to hold technical conversations with PhD researchers and client stakeholders alike Italian native or fluent; professional English required Nice to Have Experience in consulting, professional services, or product companies where requirements change rapidly Familiarity with LLM APIs, RAG architectures, or multi‐agent systems Scientific rigour in data validation and output quality (understanding of train/validation/test methodology) Experience with financial services or regulated industries Ability to read and understand ML pipeline outputs — enough to govern quality without being a machine learning researcher What We Are NOT Looking For We need someone who is smart and adaptable — not a rigid, process‐heavy manager who imposes rules from a previous era of software development.
The right candidate understands that our clients have opinions, that AI is reshaping development velocity, and that flexibility is a feature. If your first instinct when handed a constraint is to architect a 15‐service solution, this is not the role for you.
This is a senior leadership role, and we compensate accordingly. Compensation RAL : €65'000 to €80'000 Project bonuses: awarded on delivery and client impact (min 4 projects / year) Year‐end bonus: awarded for team performance Annual salary review +10% salary progression at each career level Transports allowance Benefits A brand new MacBook Pro M5 14" Once a year, the whole team flies to Dublin for a 3‐day offsite at our HQ 20 days of paid holiday per year, 8 public holidays, and 104 hours of additional permitted leave per year