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fonio.ai is seeking a hands-on engineer to get AI phone agents running for Italian customers. You will gather what a customer needs, build the setup, connect it to business tools, and fix issues quickly when calls go live.
The role requires near-native Italian and strong English, plus the ability to code independently and understand LM behavior. You will gain daily exposure to production voice AI, work with calendar APIs, and test against real-world inputs, building templates and playbooks to
This is a hands-on engineering role focused on getting AI phone agents running for Italian customers. The work covers gathering what a customer needs, building the setup, connecting it to other business tools, and fixing problems quickly once calls are live. A strong candidate codes independently, understands how language models behave and fail, and speaks Italian at near-native level alongside solid English.
Much of the work is shaping how AI behaves in real conversations: writing prompts, setting limits, and handling tool calls and retrieval. AI can speed up drafting flows and glue code, but judging edge cases, deciding what a customer truly needs, and keeping live calls reliable still depend on a person. Turning repeated setups into templates and playbooks is where this role multiplies its impact.
Someone in this role would get close, daily exposure to production voice AI used by many small businesses, including how it breaks and how to harden it. To build toward it, try a small voice or chat agent that books appointments through a calendar API, then test it against messy real-world inputs. Experience with workflow tools like n8n and with tracing and monitoring would transfer well.
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.
Per the company, fonio.ai provides AI phone assistants that answer and make business calls, transcribe conversations, schedule appointments and handle customer requests.