Software Engineer, AI, Full-stack

FLYBOARD FLORIDA LLC
United States
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Integration Architecture Microsoft Azure Cloud Computing Software Quality Continuous Delivery Continuous Integration Cursor (Graphical User Interface Elements)
+13 more
Programming Tools Distributed Systems Python (Programming Language) Performance Tuning Systems Integration Speech Recognition Core Voice Platform Large Language Models Model Validation Reliability of Systems Speech Synthesis Front End Software Development Virtual Agents

Job description

As a Software Engineer for the Core Platform, you will work closely with the founders and a still small engineering team to design, build, and scale the foundational technology that powers our AI voice agents. Your mission is to own the performance, reliability, and technical excellence of our core platform, ensuring seamless integration with the world’s leading AI model providers. This role is highly hands-on, critical to our platform’s scalability, and central to Flyboard’s ability to deliver value at high volume. You will report directly to the Founding Team.

What You Will Do

  • Platform Development: Design and implement robust, scalable platform features for our core voice agent infrastructure.
  • API & Integration Ownership: Build, maintain, and optimize APIs for high-throughput, ensuring reliable integration with core model providers (OpenAI, Google, ElevenLabs, Anthropic, Amazon, etc.).
  • System Reliability: Optimize system performance, latency, and observability to ensure the core platform is stable and efficient under heavy load.
  • Developer Tooling: Develop and implement internal tooling and automation to streamline the work of our Operations and Delivery teams.
  • Deployment and Infrastructure: Improve our continuous integration/continuous deployment (CI/CD) pipelines and contribute to maintaining our cloud infrastructure (primarily AWS, with exposure to Azure and GCP).
  • Code Quality: Write clean and maintainable code in Python and contribute to frontend functionality in JavaScript when needed., This role sits at the technical core of Flyboard’s product. Your work directly impacts the speed, quality, and scalability of every AI agent we put into production. You will learn how to operate and scale cutting-edge AI systems, work closely with engineers and founders, and become a key contributor to our rapid growth.

What We Offer

  • A steep learning curve with direct exposure to founders and the initial team of a startup
  • Real ownership from day one, with impact visible immediately in customer outcomes
  • High coding agents token budget
  • Technical ownership with architectural influence
  • Exposure to problems that are challenging, not just operationally busy
  • A dynamic, execution-driven environment with rapid iteration cycles
  • Mostly on-site, with flexibility to WFH sporadically when needed
  • Full-time indefinite contract

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.
  • Familiarity with APIs, distributed systems, cloud infrastructure, and observability.
  • The ability to investigate technical problems methodically and take ownership through production.
  • Comfort working in a fast-moving environment with changing requirements and direct customer impact.
  • Practical experience using AI coding tools such as Codex, Cursor, or Claude Code.

Nice to have:

  • Experience with voice AI, conversational agents, real-time audio, or telephony systems.
  • Experience integrating LLM, speech-to-text, or text-to-speech providers.
  • AWS and CI/CD experience.
  • Working knowledge of JavaScript and a modern frontend framework.
  • Familiarity with model evaluation, prompting, tool use, or fine-tuning.
  • Strong product judgment and attention to user experience.

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