12 ott - Milano
Teamsystem
Overview
Invii la sua candidatura dopo aver letto i requisiti di competenza e qualifica per questa posizione, riportati di seguito.
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 xysqume 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
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