AI Developer in Wrexham

We’re the leaders in outsourced calls, live chat and more, delivering brilliant conversations on behalf of businesses of all sizes. Fast-forward two decades and what started as a single, dedicated PA (who’s still with us today) looking after calls for a handful of local clients, is now a 1000‑strong team working across continents from our state‑of‑the‑art UK headquarters in Wrexham, and our US office in Atlanta.
The role – AI Developer – AI Agent Voice Assistant Platform
Moneypenny’s AI voice agent is live, handling thousands of customer calls across the UK and US. This is a core part of our business – not a proof of concept.
We are seeking an experienced Python developer to help us scale faster. You will be developing, maintaining, and enhancing Chinwag, the AI system that powers our voice agents. Your work will cover voice processing, agent orchestration, task scheduling, and external integrations with MCP servers.
This is an exciting opportunity to work on patent‑pending technology at production scale, delivering real‑world AI solutions used daily by our customers.
What you’ll need:
Core Engineering Skills
Strong proficiency in Python 3.11+, with a deep understanding of asyncio, threading, and concurrent programming patterns.
Experience with containerised applications using Docker and Docker Compose.
Solid experience working with MongoDB.
Understanding of API development patterns, including REST and integration with external services.
Knowledge of modern development practices, including pytest testing and Git version control.
Applied AI/LLM Development
Essential experience in LLM prompt engineering and optimisation, including designing effective system prompts, managing conversation context, and structuring prompts to ensure reliable AI agent responses and tool usage.
Keen interest in and passion for AI technologies and their practical applications.
Security & Governance
Strong understanding of security principles and data governance, with a focus on maintaining strict control over where sensitive data is stored and processed.
What would set you apart:
Experience with Twilio APIs for voice and SMS communications.
Experience building commercial solutions with LLMs from Google and OpenAI.
Working knowledge of LLM inference platforms, such as Groq.
Experience with voice processing technologies, including Deepgram SDK and ElevenLabs.
Knowledge of microservices architecture, particularly with MCP servers.
Experience with cloud platforms (AWS/Azure) and CI/CD pipelines.
Familiarity with monitoring and observability tools, particularly DataDog for LLM observability.
Experience with task scheduling, cron jobs, and webhook integrations.
Frontend experience with VueJS or Streamlit.
What’s included:
Permanent contract
25 days annual leave plus