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- Tasks: Build AI agents for real-world enterprise use cases and develop Python services.
- Company: High-growth enterprise software company revolutionising business workflows with AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by optimising critical processes in large organisations.
- Qualifications: Experience with Python services and a strong understanding of B2B systems.
- Other info: Join a dynamic team focused on innovation and high engineering standards.
The predicted salary is between 36000 - 60000 £ per year.
We are hiring Senior AI Engineers for a high-growth enterprise software company using AI to automate and optimise complex business workflows. This is not a research lab or a chatbot shop. You will be building production systems that sit at the centre of how large organisations make decisions, handle sensitive data and run critical processes. You will work closely with product and design, with real ownership over what gets built and how it is delivered.
What you will be working on:
- Building AI agents that handle real-world enterprise use cases like information extraction, reasoning and structured summarisation
- Developing and running Python services that power AI-driven workflows in production
- Designing systems that handle sensitive commercial data with strong security and privacy controls
- Turning messy, unstructured inputs into reliable, auditable outputs
- Maintaining high engineering standards across performance, reliability and code quality
What they are looking for:
- Experience running Python services in production cloud environments
- Good understanding of scalability, performance and security in B2B systems
- Hands-on experience building AI products using platforms such as OpenAI or Anthropic
- A pragmatic, delivery-focused engineering mindset
Nice to have:
- Experience with AWS serverless technologies
- Experience building agent-based systems using modern LLM orchestration frameworks
- Exposure to enterprise compliance or governance standards
AI Engineer employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other AI enthusiasts. 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 services and real-world applications. 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 technical knowledge and problem-solving skills. Be ready to discuss your experience with scalability, performance, and security in B2B systems, as these are key areas for the role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative to engage with us directly. Plus, it shows you're genuinely interested in being part of our team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python services and AI products. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about building AI systems that impact real-world business processes. Let us know how your pragmatic mindset fits into our mission.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex challenges in previous roles. We love seeing candidates who can turn messy inputs into structured outputs, so share those success stories!
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!
How to prepare for a job interview at Oliver Bernard
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI products, especially those using platforms like OpenAI or Anthropic. Be ready to discuss specific projects you've worked on and how they relate to real-world enterprise use cases.
✨Showcase Your Python Skills
Since you'll be running Python services in production, prepare to talk about your experience with Python in cloud environments. Bring examples of how you've tackled scalability and performance issues in past projects.
✨Understand Security and Compliance
Familiarise yourself with security and privacy controls, especially in handling sensitive data. Be prepared to discuss how you've implemented these standards in previous roles, as this is crucial for the position.
✨Be Pragmatic and Delivery-Focused
Demonstrate your delivery-focused mindset by sharing examples of how you've successfully built and delivered AI solutions. Highlight your ability to work closely with product and design teams to ensure that what gets built meets business needs.
