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- Tasks: Design and implement AI systems, build resilient backend platforms, and optimise model performance.
- Company: Fast-growing B2B Automation & Intelligence Company with a focus on innovation.
- Benefits: Competitive salary up to £200k, remote work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI in large organisations.
- Qualifications: 5+ years in software development, strong Python skills, and experience with AI applications.
- Other info: Collaborative environment with a chance to mentor junior engineers and lead impactful projects.
The predicted salary is between 43200 - 72000 £ per year.
Xcede has just started working with one of the fastest growing Large-scale B2B Automation & Intelligence Companies. Wanting to modernise how large organisations create, verify, and deliver high-stakes professional output, you will take ownership of core AI agent systems, building and scaling multi-agent services, implementing RAG pipelines, and developing robust model evaluation tooling.
What you will be doing:
- Design, implement, and operate resilient backend platforms and APIs (ideally using Python with Django or FastAPI).
- Work in close partnership with founders, product, growth, design, and engineering teams to ship impactful functionality.
- Deliver production-grade AI capabilities such as RAG pipelines, multi-agent architectures, and evaluation systems.
- Build end-to-end data workflows for model development and optimisation.
- Guide junior engineers while championing high technical standards.
Requirements:
- Over five years of hands-on experience working as a professional software developer.
- Practical experience designing, delivering, and operating AI-powered applications in live production systems.
- Proficiency with Python.
- Good grasp on SQL databases.
- Proficiency with Git.
- Experience with cloud platforms, container-based deployment, and automated build and delivery pipelines.
- Hands-on experience building asynchronous processing systems using background workers and task queue frameworks such as Celery.
- Experience using Redis.
- Practical experience developing, launching, and maintaining AI-driven systems in live production settings.
- Demonstrated expertise in building retrieval-augmented architectures, managing agent-based AI frameworks, and continuously measuring and optimising system effectiveness.
- Working knowledge of large language model assessment methods and tooling used to benchmark accuracy, robustness, and responsible behaviour.
If you are interested in this or other Data Scientist positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861
Applied AI Engineer employer: Xcede Recruitment Solutions
Contact Detail:
Xcede Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and multi-agent systems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions related to backend platforms and APIs, so you can confidently showcase your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Applied AI Engineer role. Highlight your experience with Python, AI applications, and any relevant projects that showcase your skills in building robust systems. We want to see how you fit into our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our goals. Be genuine and let us know what excites you about working with us at StudySmarter.
Showcase Your Projects: If you've worked on any cool projects, especially those involving AI or backend systems, make sure to mention them. We love seeing practical examples of your work, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Xcede Recruitment Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Django or FastAPI, and SQL databases. Brush up on your knowledge of cloud platforms and container-based deployments, as these are crucial for the role. Being able to discuss your past experiences with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your AI Experience
Prepare to talk about your hands-on experience with AI-powered applications. Be ready to share specific examples of how you've designed and operated AI systems in live production settings. Highlight any work you've done with retrieval-augmented architectures and agent-based frameworks to demonstrate your expertise.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Think through potential scenarios where you might need to build end-to-end data workflows or optimise model performance. Practising coding challenges or system design problems can help you articulate your thought process during the interview.
✨Engage with the Team
Since this role involves working closely with various teams, be prepared to discuss how you collaborate with others. Share examples of how you’ve guided junior engineers or worked alongside product and design teams. This will show that you value teamwork and can contribute positively to the company culture.
