AI Engineer - Telecommunications

wave group United Kingdom
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AI Summary

Join a fast-moving telecoms business at the start of a genuine AI transformation. Develop real-time voice AI systems, intelligent pricing agents, and other AI-powered solutions. Strong Python and LLM experience required.

Key Highlights
Real-time voice AI system development
Intelligent pricing agent creation
AI-powered solution development
Key Responsibilities
Develop a real-time voice AI system for customer verification and service
Create an intelligent pricing agent for monitoring competitors and recommending tariffs
Design and deploy AI-powered solutions for a telecoms business
Technical Skills Required
Python LLM Pinecone Azure Search LangChain LangGraph LlamaIndex AWS GCP Azure Docker Kubernetes Deepgram ElevenLabs Whisper Azure Speech
Benefits & Perks
£80-110k salary range
10% bonus
3 office days/week
VISA sponsorship available
Location: Liverpool Street
Nice to Have
Voice AI experience
Cloud-native experience

Job Description


💻 Job Title: AI Engineer

💰 Salary: £80-110k (DOE) + 10% bonus

📍 Location: Liverpool Street (3 office days/week)

📞 Industry: TeleComms

🛂 VISA sponsorship available if needed


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.

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