Forward Deployment Engineer

🕒 March 24

🇦🇹 Austria – Remote

💵 €60k - €90k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 65%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

fonio.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

Artificial Intelligence • SaaS • Telecommunications

fonio. ai is a European SaaS company offering a no-code AI call assistant platform that enables businesses to handle inbound and outbound voice calls, transcriptions, appointment scheduling, order processing, and other telephony workflows. The platform provides human-like AI voices, an API for automation, CRM and calendar integrations, and is hosted on EU infrastructure to ensure GDPR and EU AI Act compliance. fonio. ai targets organizations seeking 24/7 automated customer service, front-desk support, and telephony automation with real-time monitoring and data control.

📋 Description

• Capture customer requirements technically, structure them, and translate them into clear implementation plans • Build and roll out fonio setups into production (workflows, logic, data flows, prompts, guardrails) • Implement integrations with third-party systems (APIs, webhooks, CRM, calendar, ticketing, payments, etc.) • Develop small to medium features/glue code to accurately implement customer use cases (including tests/monitoring/logging) • Real-time debugging: calls, flows, data, edge cases — and quick fixes under production conditions • Standardization: reusable templates, best practices, “deployment playbooks” to make setups scalable • Feedback loop into the product: pain points, feature gaps, recurring patterns — prioritized and concrete

🎯 Requirements

• Solid coding skills (able to implement independently, not just “configure”) • Strong understanding of AI systems and LLM-based applications (prompting, tool use, RAG/knowledge, evaluation, failure modes) • Workflow thinking: able to translate complex processes into robust, testable flows • Experience with APIs/webhooks, auth (OAuth/API keys), data formats, and integration patterns • Basic cloud knowledge (deployments, observability, debugging in production environments) • Very pragmatic work style: deliver quickly, stabilize, iterate • Bonus (not required): experience with voice/telephony, n8n/automation, TypeScript/Python, databases (SQL), monitoring/tracing, GDPR/privacy-by-design

🏖️ Benefits

• Top equipment • Access to the latest AI tools and workflows • Significant ownership and opportunity for rapid growth • Very short decision-making paths and direct collaboration with the core team