What You'll Be Doing

• Design, build and optimise production AI voice and text agents
• Develop and refine dialogue flows, prompt frameworks and evaluation systems
• Improve speech-to-text (STT) and text-to-speech (TTS) pipelines for performance, quality and accuracy
• Build, test and deploy conversational text bots and campaign variants
• Own the configuration and optimisation of client-specific AI agent implementations
• Develop scalable integrations using APIs and backend services
• Monitor, evaluate and continuously improve AI performance in production environments
• Collaborate with product, engineering and client-facing teams to deliver best-in-class conversational experiences
• Contribute to AI engineering standards, best practices and technical direction

Essential Skills & Experience

• Proven experience building and deploying LLM-powered voice and/or text applications
• Strong software engineering skills with Python
• Experience developing and maintaining production-scale systems
• Solid understanding of prompt engineering, evaluation frameworks and AI quality measurement
• Experience integrating and managing APIs
• Strong version control practices using GitHub
• Ability to work independently and take ownership of complex technical deliverables
• Strong problem-solving and debugging capabilities

What We're Looking For

• A senior engineer who enjoys building rather than managing
• Someone comfortable working in fast-paced, product-driven environments
• A technically curious individual who stays up to date with advancements in AI and LLM technologies
• A collaborative team player with strong communication skills
• A hands-on problem-solver who can take ownership from concept through to production