Engineering Manager AI
Pubblicato il 26-10-2026 - Teamsystem in Torino
Overview
As the leader of the AI software engineering team, you will guide the development of the AI agent orchestration platform at a major European tech company. You will stay hands-on with code while mentoring engineers to deliver scalable, observable multi-agent systems. You will shape the team’s technical priorities in partnership with product and AI platform teams, and evolve the architecture to support secure, memory-aware, context-driven workflows. This role offers impact at scale, with a strong emphasis on innovation, collaboration, and delivering customer value.
Retribuzione / Benefits
- Light Friday
- Wellbeing Digital Wallet
- personal wellbeing budget
- hybrid work model
- tailored learning paths
- inclusive environment
Responsabilità
- Lead and grow a team of AI software engineers focused on agent orchestration and multi-agent workflows
- Maintain hands-on coding and conduct technical reviews
- Experiment with frontier models and evaluation harnesses, integrating effective solutions into the platform
- Set the team’s priorities in collaboration with TeamSystem product teams and the AI platform organization
- Collaborate with Architecture to ensure a robust, scalable, and observable platform
- Define the evolution of the agentic architecture, including components, APIs, and standards
Requisiti fondamentali
- ≥5 years of software engineering experience with strong foundations in system design and modern practices
- Hands-on experience with AI technologies (models, memory, evaluation harnesses, context management)
- Proven track record building platforms or services used by other development teams, including API design and managing cross-team dependencies
- Curiosity with a strong experimental mindset and quick prototyping abilities
- Excellent communication and collaboration skills, fluent in Italian and English
- strong communication
- collaboration across cross-functional teams
- growth mindset
- AI technologies including frontier models, memory, evaluation harnesses, and context management
- platform or service development with API design
- cross-team dependency management