AI Engineer

What is it all about?

• Design, development, and implementation of AI models and algorithms to address complex data-related challenges.
• Analysing large datasets to identify patterns, trends, and anomalies, providing actionable insights
• Development and maintenance of data processing pipelines for efficient data extraction, transformation, and loading.
• Working closely with development teams to integrate AI solutions into existing infrastructures.
• Providing regular updates on project progress, including insights, findings, and potential challenges, to stakeholders.
• Collaborating effectively with team members and third-party collaborators to ensure alignment and smooth execution of project tasks.
• Working on development and deployment of Large Language Models (LLMs) for various applications, including natural language understanding and generation.
• Utilising AI techniques to map, optimize, and transform business processes, enhancing efficiency and effectiveness.
• Driving AI-driven innovation in product development, creating intelligent features and solutions that meet market needs.
• Staying current with advancements in AI, ML, LLMs and product innovation to drive continuous improvement within the team.
• Mentoring junior team members in best practices for AI model development, deployment, and product innovation.
• Solid understanding and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines.
• Practical knowledge of fine-tuning LLMs for domain-specific use cases.
• Awareness of the AI engineering ecosystem as it stands today — beyond traditional ML — including vector databases, orchestration frameworks, LLMOps, and evaluation techniques.
• Experience integrating LLM-based solutions into real-world production environments.
• Ability to balance model performance, scalability, and cost-efficiency when designing AI-driven systems.

What do we expect?

• Bachelor’s degree in Computer Science, Data Science, or a related field; advanced degrees or certifications are a plus.
• Experience in AI and Machine Learning, with a focus on Large Language Models and product innovation
• Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch
• Strong experience with ETL processes and data engineering.
• Strong SQL skills and experience with NoSQL databases.
• Proficiency in data analysis, including data manipulation, querying, and visualization techniques.
• Familiarity with AI/ML concepts and techniques, particularly in anomaly detection and pattern recognition.
• Excellent problem-solving skills and the ability to think analytically and creatively.
• Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.>
• Proven track record of working in a collaborative team environment, preferably within an Agile or Scrum framework.
• Advanced English language skills.
• Ability to adapt to different tools and ways of working.
• Experience with hugging face libraries and scikit-learn.

What we offer:

• The location choice is yours: remote, on-site or hybrid
• Flexible working hours
• Work with new technologies in a high-performance environment
• Diverse international projects
• IT community involvement — Meetups, Workshops & Articles
• Internal workshops & personal development
• 100% paid sick leave
• Paid health insurance
• Subvention of Multisport card
• Transport allowance & meal allowance

Salary range:

• Our salaries are based on your experience, level of knowledge & technical interview.