Agile Lab is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customisable solutions that establish performance-driven processes, sustainable architectures and automated platforms based on data governance best practices. Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology-agnostic platform that enables modern organisations to discover, value and produce their data in both traditional environments and fully compliant Data Mesh architectures.

With a highly skilled team of over 260 data engineers based in Europe, Agile Lab helps organisations with their data-driven transformation.

Take a look at our Handbook to discover our core values and processes.

💰RAL: €48.5K – €62K

💼The opportunity:

We are looking for a Data Scientist III with a strong focus on Generative AI projects.

This role combines hands-on technical expertise on GenAI systems with leadership responsibilities and solid foundations in Data Science.

You will be expected to design, build, and deliver production-ready GenAI solutions while serving as a key technical reference for the team.

💻Responsibilities:

• Design and deliver end-to-end Generative AI solutions based on business requirements, evaluating feasibility, risks, and trade-offs.

• Own the technical architecture of GenAI systems, including: System and infrastructure design; Prompt engineering and context optimization; Agent-based AI workflows; Model serving and integration into production systems.

• Apply software engineering best practices, MLOps, and DevOps principles to GenAI and ML projects.

• Ensure observability, monitoring, and performance evaluation of GenAI and ML systems in production.

• Lead reproducible experimentation and drive continuous improvements of AI models and pipelines.

• Understand business context and translate it into scalable technical solutions.

• Act as a technical leader, mentoring junior data scientists and engineers.

• Communicate technical decisions, limitations, and risks clearly to both technical and non-technical stakeholders.

• Proactively challenge existing processes and contribute to improving engineering and delivery practices.

• Independently prioritize tasks based on impact, urgency, and business value.

🛠️ Requirements:

• Bachelor’s degree in Computer Engineering, Computer Science, Mathematics or similar;

• Previous experience as a Data Scientist or Machine Learning Engineer (3+ years).

• Strong, hands-on experience in Generative AI projects, including: Deep understanding of how generative models and LLMs work; GenAI system design and context engineering; agentic AI patterns; model serving and production integration.

• Proficient in Python, with strong software engineering skills.

• Familiarity with software development lifecycle practices (testing, release, deployment) and Git-based workflows.

• Knowledge of MLOps, DevOps, and model observability techniques.

• Advanced expertise in at least one additional data science area, such as: Machine Learning; Deep Learning; Time Series Forecasting; Optimization; Causal Inference; Computer Vision.

• Basic knowledge of other data science domains, even if not used daily.

• Ability to clearly explain AI results, limitations, and risks to diverse audiences.

• Strong leadership, communication, and project management skills.

• Fluent in both Italian and English.

• Collaborative and team-oriented mindset.

🙌🏻We offer:

• Remote or smart working and work life balance;

• Training monthly budget;

• A structured career path with clear expectations and salary for each level;

• Benefits and corporate welfare programs: meal vouchers, health fund provided, prizes, welcome pack with all the equipment you need to work;

• The opportunity to attend one conference per year;

• Stimulating environment oriented to growth, both professional and personal.

Candidates who successfully complete our selection process will be included in the Agile Lab ranking, valid for six months.

This position is open to all candidates, regardless of gender, and we strongly encourage applications from both male and female candidates pursuant to Art. 27 of Legislative Decree no. 198/2006, as well as those who identify themselves as non-binary or of any other kind. We are committed to fostering a diverse and inclusive workplace.