Capgemini is one of the leading providers of consulting, technology and outsourcing services. We offer the services of 300,000 professionals in over 50 countries with experience in application development, systems integration, web portal development, security and quality assurance.
We have been operating on the global market for 55 years and on the local Czech market we have been a partner of leading banks and insurance companies for over 20 years. We help our clients grow through our consulting and ready-made or customized solutions.
We offer our employees the background of an international consulting company and at the same time a pleasant working environment of smaller offices in Prague and Brno.
The Medior AI/Platform Engineer contributes to the implementation and support of Mosaic AI as a governed, multi-tenant, self-service platform. This role focuses on delivering golden paths, SDKs, CLIs, templates, and evaluation patterns that enable scalable and responsible AI agent development. You’ll collaborate with senior engineers and cross-functional teams to build robust platform capabilities and ensure seamless integration across the AI ecosystem.
YOUR ROLE
- Support the development and integration of Mosaic AI tools into a self-service platform.
- Build and maintain SDKs, CLIs, and reusable templates for agent creation and deployment.
- Collaborate on agent behavior design aligned with agentic AI principles.
- Implement and monitor agent workflows using the Mosaic AI Agent Framework.
- Apply MLflow for experiment tracking and model registry management.
- Contribute to feature engineering, data preprocessing, and model evaluation workflows.
- Assist in deploying models using containerization and MLOps best practices.
- Work with AutoML tools and support evaluation strategies for agent performance.
- Collaborate with platform engineers and stakeholders to refine and improve development paths
YOUR PROFILE
- Solid experience with Databricks Mosaic AI and agent development tools.
- Understanding of agentic AI principles and agent behavior design.
- Familiarity with Databricks ML platform and Spark ML.
- Proficient in Python and ML libraries such as scikit-learn, pandas, and numpy.
- Experience with the Mosaic AI Agent Framework for agent creation and testing.
- Knowledge of MLflow for tracking experiments and managing model lifecycle.
- Skilled in agent monitoring and evaluation techniques.
- Basic understanding of containerization and model deployment strategies.
- Familiarity with AutoML tools and model evaluation methods.
- Strong communication skills and a collaborative mindset.
WHAT YOU'LL LOVE ABOUT WORKING HERE
- A supportive environment for growth, including access to certifications and international expertise.
- Flexible work culture built on trust hybrid options, relaxed hours, and a focus on results.
- Opportunities to contribute to social impact initiatives like Impact Together Week.
- A wide range of employee perks: meal vouchers, Multisport card, birthday day off, free office gym, and monthly company breakfasts.
Capgemini is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.
ABOUT CAPGEMINI
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast-evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms. The Group reported in 2022 global revenues of €22 billion.