Senior Full-Stack Engineer

Shape the Future of AI & Data with Us

At Datatonic we are Google Clouds premier partner in AI driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning data engineering and analytics on Google Cloud Platform. By partnering with us clients future-proof their operations unlock actionable insights and stay ahead of the curve in a rapidly evolving world.

Your Mission

As a Senior Full-Stack Engineer AI Applications youll be instrumental in building innovative end-to-end AI-powered solutions. Youll take pride in crafting beautiful production-ready code across both front-end and back-end systems ensuring seamless user experiences and robust functionality. Youll 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 were 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. Youll know the right tools and approaches for building responsive UIs robust APIs and well-tested scalable applications. Furthermore youll need excellent communication and consulting skills with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.

What Youll 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 Youll 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 ) 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.

Whats in It for You

We believe in empowering our team to thrive with benefits including:

• Holiday: 25 days plus bank holidays (obviously!)

• Health Perks: Private health insurance (Vitality Health) and Smart Health Services

• Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health Virgin Active Pure Gym).

• Hybrid Model: A WFH allowance to keep you comfortable.

• Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

• Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

• Life Insurance: (3 x your base salary!)

• Income Protection: (up to 75% of base salary up to 2 years)

• Cycle to Work Scheme

• Tech Scheme

Why Datatonic

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic innovation isnt just encouraged - its embedded in everything we do. If youre ready to inspire change and deliver value at the forefront of data and AI wed love to hear from you!

Are you ready to make an impact

Apply now and take your career to the next level.

Required Experience:

Senior IC