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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 a product mindset.
- Other info: Join a dynamic team that values experimentation and ownership.
The predicted salary is between 28800 - 48000 £ 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 in Slough employer: Tavus
Contact Detail:
Tavus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn, join relevant groups, and attend meetups. The more connections you make, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Artificial Intelligence Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your software engineering fundamentals and any hands-on experience with 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 features. 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-driven systems or working with LLMs.
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 innovative team!
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 mission and how you see yourself contributing to their cutting-edge initiatives. This shows that you’re not just interested in the role, but also in being part of their journey.
