Engineering lead​/AI; Digital product studio

Engineering lead / AI (Digital product studio) About the Studio

This digital product studio is a dynamic, close-knit team of strategists, designers, and engineers dedicated to building innovative digital solutions that create real business impact. They move fast, collaborate closely, and always focus on efficiency, ensuring that the products they develop not only meet client needs but also enhance the lives of end-users.

Their agile teams work directly with clients to shape products that align with specific business goals. They believe in a balance of speed, quality, and a healthy work environment, enabling both their clients and the talented individuals within the studio to thrive. Each project is driven by clear weekly objectives and focused, distraction-free development.

Within the studio, engineers and designers operate in a fast-paced setting with ambitious colleagues, diverse projects, and abundant opportunities for personal growth and R&D.

This product studio is looking for an Engineering Lead with a strong software engineering background who is passionate about GenAI and eager to explore its potential. While GenAI knowledge is a plus, solid engineering expertise and a hands-on approach to building scalable software solutions are essential. As the Engineering Lead, this person will take charge of driving innovation and ensuring the successful delivery of high-impact digital products.

• Lead engineering initiatives across projects, ensuring that solutions are secure, scalable, and built with a Security by Design mindset.
• Drive GenAI efforts within the studio, applying cutting-edge technologies where relevant while maintaining a pragmatic, results-driven approach.
• Collaborate directly with clients, offering technical expertise and strategic insights to align engineering solutions with business goals.
• Mentor and coach fellow engineers, sharing knowledge about GenAI and helping to establish a culture of continuous learning.
• Experiment with and apply emerging tools and platforms such as Lang Chain and Mistral, bringing new ideas to the team.
• Move from experimentation to real-world applications, developing proof of concepts and advancing projects to full production.

• Experience: 4 – 10 years in software engineering, with some exposure to or interest in GenAI or machine learning (while not mandatory, this is a strong plus).
• Pragmatic engineering focus: A hands-on and solution-oriented approach, with the ability to move quickly from concept to practical, scalable applications.
• Security focus: Strong understanding of Security by Design principles and experience implementing data protection in software solutions.
• Client-facing skills: Ability to simplify complex concepts, lead technical discussions, and provide actionable advice to clients.
• Mentorship: A passion for mentoring others, sharing expertise, and fostering a collaborative, knowledge-driven environment.

• Impact: Lead efforts to build impactful products while expanding expertise in an evolving field.
• Variety: Work on diverse projects that offer continuous learning and new challenges.
• Collaboration: Engage with talented individuals in an environment that values knowledge-sharing, hands-on development, and experimentation.
• Growth: Plenty of room for personal and professional growth, with access to R&D opportunities and a focus on team development.