AI Engineer

Location: Athens / Greece / Athens Greece

Who are we

We are a vibrant tech company that augments and empowers technical teams for both international and Greek clients. What sets us apart is our unique blend of coaching, continuous learning, and innovation, forming an ecosystem where professionals don’t just contribute, they grow.

By joining Agile Actors, you don’t just work on cutting-edge solutions: You become part of diverse, dynamic teams where every step is a new career milestone. Our tech professionals augment teams that are global leaders in their domains, such as Austrian Post, Red Hat, Swissquote, etc.

We are firm believers that work should be more than just a job: It should be a place where people thrive. That’s why we’re proud to be officially certified as a Great Place to Work 2026, a recognition that reflects our commitment to creating an environment where talent, passion, and growth flourish.

Our values

• Having a purpose
• Being adventurous
• Being Agile
• Respect and Empower
• Authenticity and Trust
• Evolving through our clients

Who are we looking for

We’re looking for tech professionals with purpose, curiosity, and passion, people who see challenges as opportunities and want their work to have real impact. If solving problems excites you and collaborating with others inspires you, you’ll feel right at home with us. At Agile Actors, being part of our team means being adventurous and agile, ready to embrace new ideas and adapt to dynamic environments. You’ll join one of our local teams in Athens, working with talented clients to deliver solutions that shape the future of technology. As you grow through projects with global leaders, you’ll be constantly evolving, while being supported in an environment built on trust, respect, and empowerment.

Requirements

• Bachelor’s degree in computer science or related field (master’s degree preferred).
• 2+ years of experience as an AI engineer or in a similar role.
• Deep understanding of ML and AI algorithms.
• In-depth knowledge of Python.
• Experience with state-of-the-art ML and AI APIs (TensorFlow, PyTorch).
• Experience in the AI development lifecycle (model evaluation, hyperparameter tuning, data preprocessing, feature creation).
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations, since most of the data is stored in databases.
• Experience with different techniques to convert unstructured data to usable features.
• Experience with frameworks such as MLflow to organize experiments, features, and model versions.
• Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.
• Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.

Benefits

Compensation benefits

• Tailored Remuneration Package that recognizes your expertise with a competitive salary.
• Private Health Care Insurance to ensure your physical well-being.
• Ticket Restaurant Card.
• Psychological Support through a professional helpline for you and your family, with 5 free sessions included to promote mental well-being.

Developmental Benefits

• Internal Coaching Program empowers your growth, with experienced coaches supporting both technical and soft skills development.
• Personal Development Plan tailored with your coach to align with your career aspirations.
• 360° Continuous Feedback Model to keep your skills and performance aligned with your goals.
• Unlimited Training & Learning resources to cover all aspects of your professional growth, including access to various online platforms such as Udemy, Coursera, and Pluralsight from day one.
• Career Development Pathways that offer mentoring, leadership programs, and opportunities to enhance both technical and leadership skills.
• Chapters (Internal Communities) for sharing knowledge, mentoring, and shaping technology’s future.
• Diverse Customer Ecosystem that offers dynamic opportunities for career growth and development.
• Onboarding Buddy to support and guide you from day one.

Working model

This role offers a hybrid working model, with 3 days in the office and 2 days remote working.

Work-Life Balance with a culture that promotes flexibility and sustainability.