About Us
Syntio, Datatonic Company is a premium data engineering consultancy recognized for delivering cutting-edge knowledge and cloud-based solutions to tackle complex data challenges on a global scale. We are proud to have been acknowledged by the Financial Times as the fastest-growing data engineering company in Europe.
Our expertise spans all three major public cloud providers—AWS, GCP, and Azure. By leveraging managed services and open-source solutions, we design optimal architectures for data platforms that meet the unique needs of our clients.
Innovation is at the core of what we do. Our dedicated R&D department ensures that we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.
Your Mission
As a
Senior Full-Stack Engineer, AI Applications
, you'll be instrumental in building innovative, end-to-end AI-powered solutions. You'll take pride in crafting beautiful, production-ready code across both front-end and back-end systems, ensuring seamless user experiences and robust functionality. You'll be an advocate for high-quality engineering and best practices in all stages of software development, from rapid prototypes to scalable production deployments.
While this is a hands-on technical role, we're particularly interested in candidates with a desire to lead projects and actively engage in client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to integrate machine learning into user-facing applications, scoping projects, and overseeing the delivery of these engagements.
To be successful, you will need strong full-stack development fundamentals combined with an understanding of Generative AI concepts. You'll know the right tools and approaches for building responsive UIs, robust APIs, and well-tested scalable applications. Furthermore, you'll need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.
What You’ll Do
Translating Requirements:
Interpret vague business requirements and design, develop, and deploy full-stack applications that leverage AI to solve real-world problems.
AI Application Development:
Build and maintain scalable, secure web applications, including user interfaces (UI) and application programming interfaces (API), that integrate and expose AI capabilities.
Performance Optimisation:
Optimise full-stack solutions for performance, scalability, and responsiveness across both front-end and back-end systems.
AI Application Lifecycle:
Automate the deployment, monitoring, and maintenance of AI-powered applications, focusing on reliability, testing, and continuous delivery.
AI Application Solution Architecture:
Create comprehensive architecture designs for AI applications, utilising Google Cloud tools and services for both application and AI components.
Engineering Software for Production:
Build and deploy production-grade, secure, and maintainable software for AI and data-driven solutions.
What You’ll Bring
Experience:
3+ years as a Full-Stack Engineer, including some experience in AI application development.
Programming Skills:
Proficiency in Python (for backend services, APIs, and ML integration) and JavaScript/TypeScript (for front-end development). Capable of delivering production-ready code in well-tested CI/CD pipelines.
Front-End Expertise:
Strong hands-on experience with modern front-end frameworks (e.g., React, Angular, Vue.js) and building responsive user interfaces.
Back-End Expertise:
Experience designing and implementing RESTful APIs, microservices, and integrating with databases.
Cloud Expertise:
Familiarity with cloud platforms such as Google Cloud, AWS, or Azure, including deploying and managing applications.
Software Engineering:
Good knowledge of foundational software engineering practices, including design patterns, testing, and version control.
Database Proficiency:
Strong experience integrating applications with SQL and NoSQL databases
Scalability:
Experience scaling applications using cloud-native services
Security & Authentication:
Demonstrable understanding and practical experience with common web security vulnerabilities, secure coding practices, and various authentication and authorisation protocols
UI/UX Principles:
Understanding of user interface (UI) and user experience (UX) design principles to create intuitive and engaging AI applications.
Soft Skills:
Strong communication and presentation skills to effectively convey technical concepts and collaborate with clients.
Collaboration & Mentorship:
Work closely with Data Scientists, ML Engineers, Architects, and product managers, and mentor junior team members.
Bonus Points If You Have:
Scale-up experience.
Cloud certifications (Google Cloud Professional Cloud Developer, etc.).
Hands-on experience in Machine Learning or Generative AI.
Why Join Us?
Engage in diverse and exciting projects
Opportunities for continuous learning and growth
Certification plans and Syntio's extensive library
Attractive salary and benefits
You will be encouraged to bring fresh ideas to the table and experiment daily
Take part in activities organized by the Syntio Sports and Social Club
The Power Business School
Why Syntio, Datatonic company?
Join us to work alongside
AI enthusiasts
and
data experts
who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!