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, 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, ONNX, FastAPI
LLM APIs: OpenAI, Anthropic (Claude), Google Gemini
Databases & storage: Snowflake, Postgres, Azure‑managed storage (blob, NoSQL, relational)
Cloud: Azure
Engineering practices: Git workflows, CI/CD pipelines, automated testing, PR review discipline, branch strategy
Location & Hours
The role is based in our Milan AI Lab. In‑office presence 3 days a week is a firm requirement. Working days: Monday–Friday, 08:30 – 17:30 CET. Working hours: 13:00 – 14:00 (flexible lunch break).
Required Skills
Git, Leadership, Project Management, Python, SQL, System Design, CI/CD, TypeScript, Azure
Mentoring, Postgres, Snowflake
Required Languages
English, Italian
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