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- Tasks: Build cutting-edge conversational AI and enhance workflows with innovative technology.
- Company: Fast-growing tech company transforming the AI landscape for VC and private equity firms.
- Benefits: Competitive salary, bonus package, and opportunities for professional growth.
- Other info: Exciting projects with potential for significant career advancement.
- Why this job: Join a dynamic team and shape the future of AI in a thriving industry.
- Qualifications: Experience with LLMs, SQL skills, and familiarity with agent frameworks.
The predicted salary is between 140000 - 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 the company. You never know who might give you a heads-up about job openings or even refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, LLMs, or any relevant tech. This will not only impress potential employers but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and data handling skills. Practice coding challenges and be ready to demonstrate your knowledge of agent frameworks like LangChain. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly.
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 aligns with the job description.
Showcase Your Projects: If you've worked on any cool AI projects, don't hold back! Include links or descriptions in your application to give us a taste of your work. We love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise, especially around AI performance evaluation and production systems. Brush up on your understanding of RAG systems and deep search techniques, and be ready to explain how you've improved AI performance in past roles.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI strategy and how they plan to expand their capabilities. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.