At a Glance
- Tasks: Design and optimise AI solutions in a dynamic enterprise environment.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Competitive day rate, hybrid working, and immediate onboarding.
- Other info: Exciting opportunity for career growth in a cutting-edge field.
- Why this job: Make an impact with advanced AI technologies and collaborate with top talent.
- Qualifications: 5+ years in software engineering with strong AI expertise.
We are seeking a highly experienced Senior AI Engineer to join a cutting-edge programme delivering advanced AI and data-driven solutions within a complex enterprise environment.
- Design, build and optimise AI-powered solutions within enterprise-scale environments
- Develop and deploy scalable AI services using containerised architectures and Kubernetes
- Work with graph databases and retrieval systems to support advanced AI use cases
- Build and maintain CI/CD pipelines for rapid deployment and continuous improvement
- Optimise runtime performance, scalability and reliability of AI platforms
- Collaborate closely with engineering and data teams to deliver production-grade AI capabilities
Minimum 5 years’ software engineering experience within large-scale enterprise environments.
Strong hands-on AI engineering expertise.
Commercial experience with:
- Python
- PostgreSQL
- Graph databases
- Exposure to Microsoft Graph Retrieval or similar retrieval frameworks
- Strong understanding of deployment, optimisation and performance tuning
- Exposure to distributed AI systems and enterprise-scale GenAI platforms
Hybrid working – 3 days per week onsite in Farnborough.
Immediate hiring requirement with onboarding targeted by mid-June.
AI Engineer (Remote) in Farnborough employer: Talent Locker
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your expertise as a Senior AI Engineer will be pivotal in shaping advanced AI solutions. With a competitive day rate and the flexibility of hybrid working in Farnborough, you will have the opportunity to grow professionally while contributing to cutting-edge projects in a supportive environment that prioritises employee development and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Remote) in Farnborough
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. Sometimes, a friendly chat can lead to job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python, PostgreSQL, and graph databases. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of containerised architectures and CI/CD pipelines. Be ready to discuss how you've optimised performance in past roles – real-world examples will impress hiring managers!
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications with us.
We think you need these skills to ace AI Engineer (Remote) in Farnborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, PostgreSQL, and any relevant projects that showcase your skills in AI engineering. We want to see how your background fits into our cutting-edge programme!
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 experience aligns with our needs. Don’t forget to mention your hands-on expertise and any work with containerised architectures or CI/CD pipelines.
Showcase Your Projects:If you've worked on any impressive AI projects, make sure to include them in your application. We love seeing real-world examples of your skills, especially if they involve graph databases or distributed AI systems. It helps us understand what you can bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Talent Locker
✨Know Your AI Stuff
Make sure you brush up on your AI engineering knowledge, especially around Python, PostgreSQL, and graph databases. Be ready to discuss your hands-on experience and any projects you've worked on that relate to the job description.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in previous roles. Think of specific examples where you designed or optimised AI solutions, and be ready to explain your thought process and the impact of your work.
✨Familiarise Yourself with CI/CD Pipelines
Since the role involves building and maintaining CI/CD pipelines, make sure you can discuss your experience with these processes. Highlight any tools or frameworks you've used, and be prepared to explain how they contributed to rapid deployment and continuous improvement.
✨Collaboration is Key
This position requires close collaboration with engineering and data teams. Think of examples where you've successfully worked in a team setting, and be ready to discuss how you communicate and collaborate effectively to deliver production-grade AI capabilities.
