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- Tasks: Build AI agents and develop Python services for innovative workflows.
- Company: Fast-growing B2B AI company revolutionising enterprise operations.
- Benefits: Competitive salary up to £100k and fully remote work.
- Other info: Dynamic role with opportunities to tackle complex challenges.
- Why this job: Join a cutting-edge team solving real-world problems with AI technology.
- Qualifications: Strong Python skills and experience with cloud deployment.
The predicted salary is between 100000 - 100000 £ per year.
We’ve partnered with a fast-growing B2B AI company embedding intelligence directly into enterprise workflows. Think: handling sensitive data, automating complex decisions, and solving real operational problems.
What you’ll be doing:
- Building AI agents for extraction, reasoning & summarisation
- Developing Python services powering AI-driven workflows
- Working closely with product on real, messy problems
- Owning performance, security, and reliability end-to-end
What you’ll need:
- Strong Python experience in production
- Experience deploying to the cloud (AWS ideally)
- Solid understanding of scalable systems
- Hands-on with LLM APIs (OpenAI, Anthropic, etc.)
Tech: Python | AWS | LLM APIs | Agent frameworks
Package: Up to £100k base
AI/Software Engineer - up to £100k in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/Software Engineer - up to £100k in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. 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 Python projects, especially those involving AI and cloud deployment. 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 knowledge of scalable systems and LLM APIs. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace AI/Software Engineer - up to £100k in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your strong Python experience and any relevant projects you've worked on, especially those involving AI and cloud deployment.
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. Don’t just repeat your CV; give us insights into your problem-solving approach and your experience with LLM APIs.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing real examples of your work, especially if they involve building AI agents or deploying scalable systems.
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 Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python in production environments. They’ll likely want to hear about specific challenges you faced and how you overcame them.
✨Cloud Knowledge is Key
Since they’re looking for experience with cloud deployments, especially AWS, make sure you can talk about your experience with it. Prepare examples of how you've deployed applications to the cloud and any issues you’ve resolved during that process.
✨Familiarise Yourself with LLM APIs
Get comfortable discussing large language models and the APIs associated with them. Be prepared to explain how you’ve integrated these into workflows or projects, and think about the implications of using them in real-world applications.
✨Problem-Solving Mindset
They want someone who can tackle messy, real-world problems. Think of examples from your past work where you had to think critically and creatively to solve complex issues. Show them your thought process and how you approach problem-solving.