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For Companies At a Glance
- Tasks: Design, build, and deploy AI-driven systems for major enterprises.
- Company: Fast-growing AI company known for innovation and impact.
- Benefits: High autonomy, quick iteration cycles, and a strong learning culture.
- Why this job: Work on cutting-edge AI initiatives that make a real-world difference.
- Qualifications: Strong software engineering skills and interest in AI systems.
- Other info: Join a dynamic team with excellent growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
AI Engineer – Rapidly Growing AI Company
I'm partnered with a fast-growing AI company that is scaling its engineering team and looking for AI Engineers who want to build next-generation intelligent systems used by major enterprises across the world. This is an outstanding opportunity for someone who loves solving real product problems with modern AI, enjoys working end-to-end across the stack, and wants to join a team where experimentation, ownership, and impact are truly valued.
What You’ll Be Working On
- Designing, building, and deploying AI-driven systems that enable organisations to better understand and activate their data.
- Building and deploying production-grade AI features.
- Working across modern cloud infrastructure, CI/CD, and high-scale systems.
- Implementing agentic workflows, tool-use frameworks, chat interfaces, and evaluation pipelines.
- Collaborating closely with product teams to iterate quickly and deliver meaningful outcomes.
What They’re Looking For
We’re speaking to engineers who have:
- Essential
- Strong software engineering fundamentals (SDLC, testing, modern frameworks).
- Hands-on experience taking code from dev → production in cloud environments.
- Interest or experience in agentic systems (chat interfaces, workflows, tool use, LLM-driven agents, MCP-style protocols).
- A product mindset – you care about user impact, not just building features.
- Curiosity, adaptability, and willingness to grow in a rapidly evolving AI role.
- Data engineering or pipeline experience.
- Understanding of how LLMs work and how to apply them in real products.
- Experience with similar tech stacks used in modern AI/ML production systems.
Why This Role?
- Join a company recognised for innovation and rapid growth.
- Work directly on cutting-edge AI initiatives with real-world impact.
- High autonomy, quick iteration cycles, and a team that moves fast.
- Strong culture of learning, ownership, and building genuinely useful AI.
Interested?
If you’d like to explore this role, drop me a message here on LinkedIn or email me directly. Happy to share more details about the team, product roadmap, and interview process.
Artificial Intelligence Engineer in City of London employer: Tavus
Contact Detail:
Tavus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common AI engineering questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Artificial Intelligence Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your software engineering fundamentals and any hands-on experience you have in cloud environments. We want to see how you can contribute to building next-gen intelligent systems!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for AI and how you approach problem-solving. Share specific examples of projects where you've made an impact, especially those involving agentic systems or modern AI technologies. Let your personality shine through!
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve deploying AI features or working with LLMs. It gives us a taste of what you can bring to our team!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It streamlines the process and ensures your application lands in the right hands. Plus, it shows you're serious about joining our rapidly growing AI company!
How to prepare for a job interview at Tavus
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially around agentic systems and LLMs. Be ready to discuss how you've applied these in real-world scenarios or how you would approach building AI features that have a tangible user impact.
✨Show Off Your Coding Skills
Since strong software engineering fundamentals are essential, be prepared to demonstrate your coding abilities. You might be asked to solve problems on the spot, so practice coding challenges and be familiar with modern frameworks and cloud environments.
✨Emphasise Collaboration
This role involves working closely with product teams, so highlight your experience in collaborative projects. Share examples of how you've iterated on feedback and worked with others to deliver meaningful outcomes in your previous roles.
✨Be Curious and Adaptable
The company values curiosity and adaptability, so come prepared to discuss how you've embraced change in your career. Share instances where you've had to learn new technologies quickly or pivot your approach to meet evolving project needs.
