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- Tasks: Build and deploy cutting-edge AI systems that drive real-world decisions.
- Company: Fast-scaling AI platform with a focus on impactful technology.
- Benefits: Competitive contract rate, flexible working, and opportunity to work on innovative projects.
- Other info: Dynamic environment with opportunities for professional growth.
- Why this job: Join a rapidly growing team and make a significant impact in AI.
- Qualifications: 4+ years in software engineering with strong Python and TypeScript skills.
The predicted salary is between 60000 - 80000 £ per year.
Oliver Bernard are partnered with a fast-scaling AI platform building production-grade systems embedded directly into enterprise workflows. This isn’t experimentation; their tech is already driving real decisions at scale, tackling complex unstructured data and automating judgement-heavy processes.
Why this role?
- Work on real-world AI systems in production
- High-impact environment with strong product-market fit
- Join a team scaling rapidly with growing demand
What you’ll need:
- 4+ years in software engineering
- Strong Python and TypeScript
- Experience deploying to Kubernetes
- Hands-on with LLMs, embeddings & modern AI patterns
- Built and integrated APIs in production systems
Interested? Apply to find out more.
Full Stack AI Engineer - Contract - Outside IR35 employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack AI Engineer - Contract - Outside IR35
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, TypeScript, and AI systems. Having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of LLMs and APIs. Practice common interview questions and maybe even do some mock interviews with friends or online platforms.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our team directly!
We think you need these skills to ace Full Stack AI Engineer - Contract - Outside IR35
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, TypeScript, and deploying to Kubernetes. 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 shine! Tell us why you’re excited about working on real-world AI systems and how your background makes you a perfect fit for our fast-scaling team.
Showcase Your Projects: If you've worked on any production-grade systems or have experience with LLMs and modern AI patterns, make sure to mention them. We love seeing practical examples of your work!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and TypeScript, as these are crucial for the role. Brush up on your experience with deploying to Kubernetes and working with LLMs, embeddings, and modern AI patterns. Being able to discuss your past projects confidently will show that you’re the right fit.
✨Showcase Real-World Applications
Prepare examples of how you've tackled complex unstructured data or automated judgement-heavy processes in previous roles. This will demonstrate your ability to work in high-impact environments and give the interviewers a clear picture of your problem-solving skills.
✨Understand the Company’s Mission
Research the AI platform and understand their product-market fit. Knowing how their technology drives real decisions at scale will help you align your answers with their goals and show that you’re genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the challenges they face, and how they measure success. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values and work style.