This role sits between product and customer setups, turning a customer’s needs into working phone agent deployments in the UK. It asks for real coding ability, a solid grasp of how language models behave, and comfort connecting outside systems through APIs and webhooks. A strong candidate ships quickly, keeps things stable, and can debug live call problems calmly.
How it fits the AI era
Much of the work is shaping how AI agents behave: writing prompts, setting guardrails, and designing flows that handle messy real calls. AI tools can speed up the coding and the first drafts of setups, but judgment about edge cases, failure modes and what a customer really needs stays human. Turning repeated fixes into templates and playbooks is also a people-led skill.
How it builds AI experience
Someone in this role gets hands-on time with live voice AI used by small businesses, including tool use, retrieval and the ways agents go wrong in real conversations. To build this experience beforehand, try a small voice or chat agent project that connects to a calendar or CRM, and note the failure cases you find and fix.
Worth showing
- API and webhook integrations
- LLM prompting and guardrails
- TypeScript or Python projects
- Reusable templates and playbooks
This is our own read, written from the employer’s posting and the company’s Spotlight. The employer’s posting is the source of truth for the role.
About fonio.ai
Per the company, fonio.ai provides AI phone assistants that answer and make business calls, transcribe conversations, schedule appointments and handle customer requests.
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