Find a job 
Featured Companies 
Featured Universities 
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.
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
- You'll help design, build, and deploy AI-driven systems that enable organisations to better understand and activate their data.
- Expect a blend of:
- 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
- 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 employer: Tavus
Contact Detail:
Tavus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions. This is your chance to demonstrate your hands-on experience and product mindset, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your software engineering fundamentals and understanding of agentic systems. Be ready to discuss how you've tackled real-world problems with AI!
✨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 that extra step to connect directly with us.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! Share specific examples of projects or experiences that highlight your love for solving real-world problems with AI. We want to see your genuine interest in the field!
Tailor Your Application: Make sure to customise your CV and cover letter to align with the job description. Highlight your relevant skills and experiences that match what we’re looking for, especially around building and deploying AI-driven systems. A tailored application shows us you’re serious about joining our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Tavus
✨Know Your AI Fundamentals
Brush up on your software engineering fundamentals, especially around the software development lifecycle (SDLC) and testing. Be ready to discuss how you've taken code from development to production in cloud environments, as this will show your hands-on experience.
✨Showcase Your Product Mindset
Prepare examples that highlight your understanding of user impact. Discuss projects where you’ve not only built features but also considered how they solve real product problems. This will resonate well with the company's focus on meaningful outcomes.
✨Demonstrate Curiosity and Adaptability
Be ready to talk about how you've adapted to new technologies or methodologies in your previous roles. Share instances where your curiosity led you to explore agentic systems or LLMs, as this aligns with what they’re looking for in a candidate.
✨Engage with Their Vision
Research the company’s recent projects and innovations in AI. During the interview, express your enthusiasm for their cutting-edge initiatives and how you see yourself contributing to their goals. This shows that you’re not just interested in the role, but also in being part of their journey.
