At a Glance
- Tasks: Design and build AI applications using cutting-edge technologies and cloud-native architectures.
- Company: Established organisation focused on applied AI to enhance customer experiences.
- Benefits: Competitive daily rate, flexible work schedule, and opportunities for professional growth.
- Other info: Collaborative environment with a strong focus on engineering quality and accountability.
- Why this job: Join a dynamic team solving real-world problems with innovative AI solutions.
- Qualifications: Experience in software development and familiarity with AI technologies.
They are a large, established organisation investing heavily in applied AI to improve customer-facing and internal capabilities. The business operates at enterprise scale and provides standardised GenAI services through an internal platform. Technology teams work closely with product, architecture, and delivery stakeholders to solve meaningful, real-world problems. The environment values engineering quality, collaboration, and accountability for outcomes.
The Role and Deliverables
- Design, build, and maintain production-grade AI-enabled applications consuming standardised GenAI services such as LLM-based capabilities, RAG, summarisation, and classification.
- Develop cloud-native microservice or full-stack applications using API-led architectures.
- Integrate AI capabilities securely and reliably, in line with platform standards and guardrails.
- Take end-to-end ownership from local development through CI/CD, deployment, monitoring, and incident resolution.
- Build and maintain DevSecOps pipelines with automated testing, security controls, and infrastructure as code.
- Implement observability, logging, metrics, and alerting to support live production workloads.
Your Skills Experience
Full Stack AI Engineer employer: Harnham - Data & Analytics Recruitment
As a Full Stack AI Engineer at this large, established organisation in London, you will be part of a dynamic team that prioritises engineering quality and collaboration. The company offers competitive daily rates, a flexible work environment with 2-3 days on-site, and significant investment in AI technologies, providing ample opportunities for professional growth and development. With a strong focus on solving real-world problems, you'll find meaningful work that directly impacts customer experiences and internal processes.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and full-stack development. We recommend using platforms like GitHub to share your code and demonstrate your expertise. It’s a great way to stand out!
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to AI engineering. We suggest doing mock interviews with friends or using online platforms. The more you practice, the more confident you’ll feel when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Keep an eye on our listings and make sure your application stands out by tailoring it to each role.
We think you need these skills to ace Full Stack AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Full Stack AI Engineer role. Highlight your experience with AI applications, cloud-native development, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your achievements and how they relate to the job description.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them in your application. We love seeing real-world examples of your work, especially those involving AI and full-stack development.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role as quickly as possible!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your knowledge of AI-enabled applications, cloud-native microservices, and API-led architectures. Being able to discuss specific projects where you've used these technologies will show that you're not just familiar but also experienced.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using AI or full-stack development. Think of examples where you took ownership of a project from start to finish, especially those involving CI/CD and DevSecOps. This will demonstrate your ability to deliver results and your understanding of the end-to-end process.
✨Emphasise Collaboration
Since the role involves working closely with product, architecture, and delivery teams, be ready to talk about your experience in collaborative environments. Share examples of how you’ve worked with cross-functional teams to achieve common goals, highlighting your communication skills and accountability.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of AI capabilities, security controls, and infrastructure as code. Practise explaining complex concepts in simple terms, as this will showcase your depth of knowledge and your ability to communicate effectively with non-technical stakeholders.
