Giotto.ai is building intelligence systems for Europe, focused on advanced reasoning AI, efficient machine learning architectures, and robust AI infrastructure.

We are assembling a team of exceptional engineers and builders who want to work on technically challenging systems, combining software engineering, system design, infrastructure, and applied AI deployment.

Role Overview:

We are looking for a Senior Software Engineer capable of designing, building, and operating robust software systems that support large-scale AI workloads and production-grade applications.

This role is suited for an engineer with strong system design skills, solid backend experience, and the ability to work across databases, distributed services, event-driven architectures, deployment pipelines, and application infrastructure.

The role is primarily software engineering focused, with Python as a core language, but experience with frontend development is also valuable, especially for building internal tools, user-facing interfaces, dashboards, and AI-powered applications.

Depending on experience, the role may involve leading a project team or feature squad, although strong senior individual contributors are equally valued.

Core Technologies

• Python
• SQL and NoSQL databases
• Docker
• Kubernetes
• Event-driven systems
• Message queues and asynchronous architectures
• REST APIs and backend services
• Frontend technologies
• Airflow
• Ray
• Object-oriented design
• AI infrastructure and model deployment

Required Profile

• Mid-senior or senior software engineer
• Strong system design capabilities
• Experience designing and operating production systems
• Strong backend engineering experience, preferably in Python
• Solid understanding of software architecture, APIs, and object-oriented design
• Experience working with databases, data models, and persistence layers
• Experience with Docker and containerized deployments
• Familiarity with distributed systems, asynchronous services, or event-driven architectures
• Basic DevOps knowledge
• Ability to reason about reliability, scalability, observability, and maintainability
• Interest in AI systems, AI infrastructure, or machine learning deployment

Nice to Have

• Experience with frontend development
• Experience with Kubernetes and cloud-native infrastructure
• Experience with AI model serving or deployment
• Experience with Ray, Airflow, Kafka or similar distributed/data orchestration tools
• Experience with monitoring and observability tools such as Grafana
• Experience building internal platforms, developer tools, or infrastructure products
• Leadership experience
• Advanced DevOps experience

Location & Work Style

We offer a Contractorship.

Hybrid model:

• Remote work fully supported with occasional visits to Switzerland

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