Engineering Manager AI

1 giorno fa

milano, Italia TeamSystem Tempo pieno
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