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- Tasks: Design and build scalable applications while integrating Generative AI into enterprise systems.
- Company: Join a global enterprise leading in platform engineering and AI innovation.
- Benefits: Competitive daily rate, hybrid work model, and potential for contract extension.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Be at the forefront of tech, shaping the future with AI-driven solutions.
- Qualifications: Strong experience in TypeScript, React, and commercial AI projects required.
The predicted salary is between 39600 - 52800 £ per year.
Location: Basingstoke, UK (Hybrid – 2 days onsite per week)
Rate: £550 per day (Outside IR35)
Duration: Initial 6 months (with likely extension)
Overview: We are supporting a global enterprise as they expand their platform engineering capability, with a particular focus on embedding Generative AI into core business systems. This role is positioned as a full stack engineering role first, with AI/GenAI forming a key component of the wider technology stack. The successful candidate will play a critical role in building and scaling production-grade applications, whilst integrating AI capabilities into real-world, enterprise use cases.
Key Responsibilities:
- Design, build and maintain full stack applications, with a focus on scalable, backend-led architecture
- Develop modern web applications using TypeScript and React
- Integrate Generative AI capabilities into enterprise platforms and workflows
- Build and consume APIs, working across data pipelines and cloud-based services
- Contribute to CI/CD pipelines, automation, and engineering best practices
- Collaborate closely with product, engineering and data teams to deliver high-quality solutions
- Support the adoption and integration of AI capabilities across the wider business
Key Requirements:
- Strong commercial experience as a Full Stack Engineer, with a focus on TypeScript and React
- Proven track record building production-grade systems in enterprise environments
- Hands-on experience working on commercial AI / GenAI projects (e.g. LLM integrations, embeddings, AI-enabled features)
- Experience working with APIs, microservices and modern application architectures
- Solid understanding of cloud platforms (e.g. Azure, GCP) and DevOps practices (CI/CD, containerisation)
- Ability to operate effectively within complex, cross-functional teams
Desirable Experience:
- Exposure to Python within backend or AI-related services
- Experience integrating AI capabilities into customer-facing or internal platforms
- Familiarity with MLOps principles or deploying AI solutions into production environments
- Background working in regulated or large-scale enterprise environments
Full Stack Engineer employer: Roc Search
Contact Detail:
Roc Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or full stack development. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving TypeScript, React, and AI integrations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of cloud platforms. Practice common algorithms and system design questions, as they’re often part of the process for full stack roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Full Stack Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with TypeScript, React, and any AI projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for full stack engineering and how you’ve successfully integrated AI into your work. Keep it engaging and personal!
Showcase Your Projects: If you have a portfolio or GitHub repository, include it in your application! We love seeing real examples of your work, especially anything that demonstrates your ability to build scalable applications and use modern technologies.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Roc Search
✨Know Your Tech Stack
Make sure you brush up on TypeScript and React, as these are key components of the role. Be ready to discuss your past projects where you've used these technologies, especially in building scalable applications.
✨Showcase Your AI Experience
Since this role involves integrating Generative AI, prepare to talk about any relevant projects you've worked on. Highlight your experience with AI/GenAI, particularly any hands-on work with LLM integrations or AI-enabled features.
✨Understand the Business Context
Research the company and its industry to understand how they might use AI in their operations. This will help you tailor your answers and demonstrate that you're not just a tech whiz but also someone who understands the bigger picture.
✨Collaboration is Key
Be prepared to discuss how you've worked within cross-functional teams in the past. Share examples of how you’ve collaborated with product, engineering, and data teams to deliver high-quality solutions, as teamwork is crucial for this role.