AI Engineer (Telecommunications)

AI Engineer - Telecommunications

Conditions

Posted Date Jun 09, 2026 Employment Type Full-time Experience Level Mid-Senior level Location United Kingdom Annual Salary 960,000 GBP Category ** Devops ** Company **wave group **

AI Engineer - Telecommunications

💻Job Title: AI Engineer 💰 Salary: £80-110k (DOE) + 10% bonus 📍 Location: Liverpool Street (3 office days/week) 📞 Industry: TeleComms 🛂 VISA sponsorship available if needed

Searching for Devops roles that provide visa sponsorship? Connect with international employers through Devops Jobs with Visa Sponsorship opportunities actively seeking talented professionals. 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. Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.

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: Interested in opportunities specifically in United Kingdom? Discover our dedicated Visa Sponsorship Jobs in United Kingdom page featuring roles from top employers in this location.

• 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.

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