Forward Deployed Engineer

🌍 About Flyboard

We Make Voice AI Work. We ship production-ready agents that automate real sales and operations.

Flyboard.ai builds and operates custom AI voice agents that automate high-volume, repeatable workflows across commercial and operational processes. Our customers include fast-moving SMEs, corporates, and mid-market leaders across Europe and LatAm. We are execution-obsessed, customer-ROI-driven, and deeply committed to operational excellence.

🚀 Mission

As a Forward Deployed AI Engineer, you will work at the intersection of our customers, Delivery team, and Core Platform engineering team.

Your mission is to ensure the technical success of our customer deployments: understanding technical requirements, building production integrations, configuring and improving AI agents, and translating recurring customer needs into platform improvements.

The Delivery team will lead the overall customer engagement, while you will own the technical execution. You will write production Python code, work directly with customer technical teams, and contribute to the platform that powers all our AI voice agents.

This is a hands-on engineering role for someone who combines strong technical ability with clear communication, structured thinking, and genuine interest in working with people. You will report directly to the Technical Co-Founder.

🔧 What You Will Do

• Technical Delivery: Implement the technical components of customer deployments, from initial technical definition through production launch and stabilization.
• Customer Collaboration: Work directly with technical stakeholders on the customer side to understand their systems, clarify requirements, explain technical trade-offs, and coordinate integrations.
• Production Engineering: Write clean, maintainable Python code for customer implementations and reusable platform capabilities.
• API & Integration Development: Build and maintain integrations using APIs, webhooks, databases, and external business systems.
• AI Agent Implementation: Configure and improve AI voice agents, including their workflows, tools, prompts, integrations, and operational behavior.
• Platform Contribution: Identify recurring requirements across customer deployments and work with the Core Platform team to turn them into scalable product capabilities.
• Deployment Reliability: Test, monitor, troubleshoot, and improve customer deployments to ensure they are stable and reliable in production.
• Cross-functional Collaboration: Act as the technical link between Delivery, Platform Engineering, and customer technical teams, ensuring information and technical decisions flow clearly between them.
• Technical Documentation: Document integrations, implementation decisions, and reusable technical patterns to improve future deployments.

🎯 Ideal Profile

We are looking for a strong engineer who enjoys both building systems and working with people.

You will thrive in this role if you are comfortable moving between writing production code, investigating technical problems, discussing requirements with customers, and collaborating with internal teams.

What you need

• Typically 2–5 years of relevant experience, although we care more about demonstrated ownership and technical ability than time in role.
• Strong Python and backend engineering skills.
• Experience building, deploying, and operating production software.
• Experience working with APIs, webhooks, integrations, databases, and cloud infrastructure.
• The ability to understand customer requirements and translate them into clear technical implementations.
• Strong communication skills and the ability to explain technical concepts, limitations, and trade-offs to different audiences.
• A structured and methodical approach to debugging and solving technical problems.
• Comfort working across multiple projects and collaborating with engineering, delivery, and customer teams.
• Professional proficiency in both English and Spanish.
• Practical experience using AI coding tools such as Codex, Cursor, or Claude Code.

Nice to have

• Previous experience as a Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, technology consultant, or in another customer-facing engineering role.
• Experience with voice AI, conversational agents, real-time audio, or telephony systems.
• Experience integrating LLM, speech-to-text, or text-to-speech providers.
• Experience designing prompts, tools, workflows, and evaluation processes for AI agents.
• AWS and CI/CD experience.
• Working knowledge of JavaScript and a modern frontend framework.