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fonio

AI phone assistant platform for SMEs

Forward Deployed Engineer

Implementation & Technical Account ManagementUpdated on Nov 7
Full-timeVienna, Austria

About the Job

Requirements

  • The candidate must have solid coding skills and be able to implement independently rather than only configure systems.
  • The candidate must understand AI systems and large language models, including prompting, tool use, retrieval-augmented generation, and their failure modes.
  • The candidate must be able to translate complex processes into robust, testable workflows.
  • The candidate must have experience with application programming interfaces, webhooks, authentication, and common integration patterns.
  • The candidate must understand cloud fundamentals, including deployments, observability, and production debugging.
  • The candidate must have native or near-native German and fluent English.

Responsibilities

  • Capture customer requirements and translate them into concrete implementation plans.
  • Build and roll out production setups, including workflows, logic, prompts, and guardrails.
  • Implement integrations with third-party systems such as application programming interfaces, webhooks, customer relationship management systems, calendars, and ticketing systems.
  • Develop smaller features and glue code to map customer cases cleanly.
  • Debug production calls, flows, and edge cases, and implement fast fixes.
  • Build reusable templates and deployment playbooks to make setups scalable.
  • Provide the team with concrete, prioritized feedback on customer pain points and product feature gaps.

Desired Qualifications

  • Experience with TypeScript or Python and SQL.
  • Experience with voice and telephony systems.
  • Hands-on experience with n8n.
  • Experience with monitoring and tracing in production systems.
  • Working knowledge of the General Data Protection Regulation.

About the Company

fonio

AI phone assistant platform for SMEs

fonio.ai provides a no-code AI phone assistant for small and medium-sized enterprises, letting businesses deploy a customized virtual agent that answers calls 24/7, schedules appointments, takes orders, transcribes conversations, and routes to humans when needed, with CRM integrations and a pay-per-minute pricing model. It works by enabling a quick, code-free setup of an AI phone solution that handles natural speech in European languages, operates across calls, and connects with existing CRM systems. The platform differentiates itself by focusing on EU SMEs in the DACH region, offering European-language support, CRM integrations, and a pay-per-minute model with rapid deployment. Its goal is to expand across Europe, grow its product and customer base, and make AI-powered telephony accessible and affordable for European SMBs.

Company size
51-200
Company stage
Seed
Total funding
$19.4M
Headquarters
Vienna, Austria
Founded
2024

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