At a Glance
- Tasks: Build cutting-edge AI systems that serve millions of customers across Europe.
- Company: Fast-moving telecoms business undergoing genuine AI transformation.
- Benefits: Competitive salary, bonus, and VISA sponsorship available.
- Other info: Dynamic environment with opportunities to innovate and grow.
- Why this job: Join a pioneering team and shape the future of AI in telecoms.
- Qualifications: Strong Python skills and experience with LLM-powered systems.
The predicted salary is between 80000 - 110000 £ per year.
This is a rare chance to join a fast-moving telecoms business at the start of a genuine AI transformation. Not a centre of excellence. Not a pilot programme. Actual AI systems, in production, serving millions of customers across Europe.
What you'll build:
- A real-time voice AI system — customer verification and service, handling live calls autonomously before a human agent ever gets involved.
- An intelligent pricing agent — monitoring competitors, processing market signals, and recommending (or autonomously setting) tariffs across an expanding international eSIM product.
- Beyond those, there's a roadmap that includes real-time translation, fraud detection, and a goal of becoming a fully AI-native organisation.
You won't be told what to build next — you'll help figure that out.
What we're looking for:
- Strong Python and experience shipping LLM-powered systems to production
- Hands-on RAG experience — chunking, hybrid retrieval, vector DBs (Pinecone, Azure Search)
- LLM frameworks: LangChain, LangGraph, LlamaIndex
- Agentic AI systems built and deployed (not just prototyped)
- Cloud-native: AWS, GCP or Azure + Docker/Kubernetes
- Voice AI experience (Deepgram, ElevenLabs, Whisper, Azure Speech) is a big plus — but we'll back the right engineer over the perfect skill match.
AI Engineer employer: Wave Group
Join a dynamic telecoms company at the forefront of AI innovation in Liverpool Street, where you'll have the opportunity to work on cutting-edge projects that impact millions of customers across Europe. With a strong emphasis on employee growth and a collaborative work culture, we offer competitive salaries, a 10% bonus, and the flexibility of hybrid working. Be part of a transformative journey, where your contributions will directly shape the future of our AI systems and services.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the telecoms and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LLM systems. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and telecoms, and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python and any LLM-powered systems you've shipped. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've built or deployed AI systems. If you've worked with voice AI or cloud-native technologies, let us know! This is your chance to shine and show us what you can do.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're excited about this role and how you can contribute to our AI transformation. Be genuine and let your personality come through – we love to see passion!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Wave Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific LLM frameworks mentioned in the job description. Brush up on your hands-on experience with RAG, vector databases, and cloud platforms like AWS or Azure. Being able to discuss your past projects in detail will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Problem-Solving Skills
This role is all about figuring out what to build next, so be prepared to discuss how you've tackled challenges in previous projects. Think of examples where you had to innovate or adapt quickly, especially in AI systems. This will demonstrate your ability to think critically and creatively under pressure.
✨Prepare for Technical Questions
Expect some deep dives into your technical knowledge during the interview. Practice explaining complex concepts in simple terms, as you might need to communicate your ideas to non-technical stakeholders. Consider mock interviews with peers to get comfortable with articulating your thought process.
✨Understand the Company’s Vision
Research the telecoms industry and the company’s current position within it. Familiarise yourself with their AI transformation goals and think about how your skills can contribute to that vision. Showing genuine interest in their mission will set you apart and demonstrate that you’re a good cultural fit.
