AI Developer

ShortList Recruitment Limited
Chester, UK
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£70,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cron DevOps Python (Programming Language) MongoDB Secure Coding Systems Integration Speech Recognition
+16 more
Data Processing Large Language Models Grafana Multi-Agent Systems Concurrency Prompt Engineering Git Vue.js Pytest Speech Synthesis Front End Software Development Virtual Agents Restful APIs Streamlit Framework Api Management Docker

Job description

An established tech-led business is expanding its production-scale AI voice assistant platform and is looking for an experienced Python Developer to help enhance and grow the system. You’ll work across real-time voice processing, agent logic and integrations that power thousands of interactions daily., * Develop and maintain core components of a large-scale Python-based AI agent platform

  • Work on voice processing, agent orchestration, task scheduling and API integrations
  • Improve performance, reliability and scalability across the system
  • Follow secure development and data governance best practices, The Python Developer role is remote-first, with ad hoc visits to the Chester-based office. The role is paying circa £70,000 with some flex for the right individual with Voice experience.

Requirements

  • Experience with telephony or voice/SMS APIs
  • Experience with speech-to-text / text-to-speech SDKs
  • Strong experience with Python, including asyncio and concurrency
  • Experience with Docker, containerised applications and MongoDB
  • Knowledge of REST API development and integrating external services
  • Experience with pytest, Git and modern engineering practices
  • Practical experience with LLM prompt design and optimisation
  • Strong understanding of security principles and safe data handling
  • Exposure to commercial LLM platforms or inference engines
  • Knowledge of cloud platforms (AWS/Azure) and CI/CD pipelines
  • Familiarity with observability tools used in AI/LLM environments
  • Experience with task schedulers, cron jobs or webhook-based workflows
  • Optional frontend experience (e.g. Vue, Streamlit)

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