flyboard

Forward deployed AI engineer

In short

Forward Deployed AI Engineer at Flyboard.ai, a startup building custom AI voice agents for SMEs and corporates across Europe and LatAm. The role bridges customers, Delivery, and Core Platform engineering — implementing deployments, writing Python, building integrations, and configuring AI voice agents. Requires 2–5 years of backend/Python experience, API and integration skills, and professional proficiency in English and Spanish. Primarily on-site in Barcelona with occasional remote flexibility.

About the Role
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. As a Forward Deployed AI Engineer, you will work at the intersection of our customers, Delivery team, and Core Platform engineering team.
Responsibilities
•Implement the technical components of customer deployments, from initial technical definition through production launch and stabilization.
•Work directly with technical stakeholders on the customer side to understand their systems, clarify requirements, explain technical trade-offs, and coordinate integrations.
•Write clean, maintainable Python code for customer implementations and reusable platform capabilities.
•Build and maintain integrations using APIs, webhooks, databases, and external business systems.
•Configure and improve AI voice agents, including their workflows, tools, prompts, integrations, and operational behavior.
•Identify recurring requirements across customer deployments and work with the Core Platform team to turn them into scalable product capabilities.
•Test, monitor, troubleshoot, and improve customer deployments to ensure they are stable and reliable in production.
•Act as the technical link between Delivery, Platform Engineering, and customer technical teams, ensuring information and technical decisions flow clearly between them.
•Document integrations, implementation decisions, and reusable technical patterns to improve future deployments.
Requirements
•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.
•Strong product judgment and the ability to distinguish between a customer-specific requirement and a reusable product capability.
Conditions
•A steep learning curve with direct exposure to the founders and the initial team of a startup.
•Real ownership from day one, with impact visible immediately in customer outcomes.
•The opportunity to combine deep technical work with meaningful customer interaction.
•Technical ownership with influence over both customer implementations and the core product.
•Work on technically demanding problems involving production AI, real-time systems, and external integrations.
•A generous budget for AI development and coding tools.
•A dynamic, execution-driven environment with rapid iteration cycles.
•A primarily on-site role in Barcelona, with flexibility to work from home occasionally when needed.
•A permanent, full-time employment contract in Spain.

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