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- Tasks: Build cutting-edge conversational AI and enhance workflows with innovative tech.
- Company: Fast-growing, data-driven tech company impacting 300+ VC and private equity firms.
- Benefits: Competitive salary, bonus, and opportunities for professional growth.
- Other info: Exciting environment with potential for career advancement in AI.
- Why this job: Join a dynamic team expanding AI capabilities and make a real difference.
- Qualifications: Hands-on experience with LLMs and solid SQL skills required.
The predicted salary is between 120000 - 140000 £ per year.
On‑Site (London) Competitive package + bonus
I’m working with a fast‑growing, data‑driven tech company whose platform is used by 300+ VC and private equity firms. They’re now investing heavily in expanding their AI capabilities and are looking for an AI Engineer to join the team.
The role will involve:
- Building conversational AI and agent‑based workflows
- Implementing tool use and function calling with LLMs
- Developing RAG systems and deep search across proprietary and external data
- Evaluating and improving AI performance in production
They’re looking for someone with:
- Hands‑on experience with LLMs (OpenAI, Anthropic, etc.)
- Familiarity with agent frameworks such as LangChain
- Solid SQL and data handling skills
Bonus: experience with production AI systems, vector databases, or TypeScript
AI Engineer - London | Up to £140k employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - London | Up to £140k
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at companies you're interested in. You never know who might help you land that AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or conversational AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and data handling skills. Practice coding challenges related to AI systems and be ready to discuss your experience with agent frameworks like LangChain.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you ace your job search, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer - London | Up to £140k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your hands-on experience with LLMs and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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 you can contribute to our team. Be sure to mention any experience with agent frameworks or SQL that makes you stand out.
Showcase Your Projects: If you've worked on any cool AI projects, don’t forget to mention them! Whether it's building conversational AI or improving AI performance, we love seeing real examples of your work. It helps us understand your capabilities better.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our fast-growing team in London!
How to prepare for a job interview at Oliver Bernard
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and agent frameworks like LangChain. Be ready to discuss your hands-on experience with these technologies, as well as any projects you've worked on that involved building conversational AI or agent-based workflows.
✨Showcase Your SQL Skills
Since solid SQL and data handling skills are a must, prepare to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice writing queries and think about how you can optimise data retrieval in real-world scenarios.
✨Talk About Performance Improvements
Be ready to discuss how you've evaluated and improved AI performance in production environments. Share specific examples of challenges you faced and the strategies you implemented to enhance system efficiency or accuracy.
✨Get Familiar with Their Tech Stack
Research the company’s existing AI capabilities and any tools they use, especially if they mention vector databases or TypeScript. Showing that you understand their tech stack will demonstrate your genuine interest in the role and help you stand out.