AI Software Developer

About Fly Exclusive

fly Exclusive is one of the fastest-growing private aviation companies in the country — and we are just getting started. We operate a modern, curated fleet and deliver a world-class experience to our customers, backed by a team that holds itself to the highest standards of safety, service, and operational excellence. From our roots in Kinston, North Carolina to our expanding Raleigh headquarters, we are building something the industry has not seen before.

This is not just a job — it is an opportunity to be part of something that is taking off. At fly Exclusive, you will work alongside talented, driven people who care deeply about what they do and the team they do it with. You will have real responsibility, room to grow, and a front-row seat to the inner workings of a private aviation company scaling at speed.

We offer a competitive salary and benefits package — but what sets us apart is our culture. We are a crew that holds each other to high standards, has each other's backs, and takes pride in doing exceptional work every day. If you are looking for a place to punch in and punch out, this probably is not it. But if you are looking for a place to build a career you are proud of, you may have just found your runway.

We are seeking a Senior Software Developer with 6+ years of experience who builds and ships production software by directing AI coding agents at high velocity, and who also designs and builds machine-learning and AI models for the business. This is a hands‑on engineering role on a multi-tenant, regulated SaaS platform: designing backend services and internal tools, integrating third‑party systems, building and deploying models (e.g., pricing, flight‑time estimation, and fleet/demand optimization), diagnosing real production issues, and shipping small, well‑tested changes through CI/CD.

Much of the work gets done by planning, driving, and verifying AI agents (e.g., Claude Code) to investigate, implement, test, and ship. The ideal candidate pairs strong software‑engineering fundamentals and production‑operations instincts with daily fluency in AI‑assisted, agentic development and hands‑on machine‑learning experience.

• Design, build, test, deploy, and maintain production software and services for internal and customer‑facing use cases — primarily by directing AI coding agents and verifying their output.
• Plan and decompose work for AI coding agents, then review, correct, and integrate what they produce — treating the agent as a fast junior engineer you are accountable for, never an oracle.
• Integrate third‑party APIs and external systems (vendor data feeds, payments, messaging, mapping, and LLM/AI services) into platforms, products, and operational workflows.
• Design, build, train, evaluate, and deploy machine‑learning and AI models for business use cases (e.g., pricing, flight‑time estimation, and demand/fleet optimization), and integrate them into production workflows.
• Build and maintain scalable backend services, internal tools, data pipelines, and typed front ends.
• Design data models, APIs, and structured, auditable workflows that AI agents can execute safely and reliably.
• Optimize application performance across latency, cost, scalability, and reliability.
• Direct and supervise AI coding agents to plan, implement, test, and ship production features end‑to‑end — reviewing and verifying AI output, not blindly trusting it.
• Build and maintain multi‑tenant backend services, internal tools, and their typed front ends (e.g., ASP.NET Core / EF Core / Azure SQL and React / Type Script).
• Diagnose and resolve real production issues using telemetry — application logs, metrics, and database query plans — and verify every fix on the live system.
• Operate the cloud platform and delivery pipeline:
  Azure services, CI/CD, and source control, shipping small, well‑tested changes.
• Iterate quickly while holding a regulated, high‑stakes bar — correctness, traceability, and no silent failures.
• Continuously replace traditional engineering workflows with AI‑assisted systems and help improve the agent tooling itself.
• Collaborate with product managers,…