About flyExclusive
flyExclusive 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.
Why flyExclusive?
As we continue to build a leading aviation brand, nothing is more critical to this mission than the talented professionals that make up flyExclusive. We’re more than just a private jet company. We go beyond the industry standard to create a uniquely detailed customer experience that is visible throughout all our departments, from our software design and fleet coordinator teams to our pilots and technicians. If you are looking for people who motivate others around them, and build relationships that create trust and open communication, you will find that here. The people at flyExclusive create a culture of positivity and arent afraid to make decisions for the good of their team and the company.
If that sounds like you, come and work with us at flyExclusive! We offer competitive pay within the aviation industry, generous time off with flexible scheduling, a great benefits package including 401k matching, relocation assistance, and career growth opportunities!
Job Summary
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.
Key Responsibilities
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.
Design data models, APIs, and structured, auditable workflows that AI agents can execute safely and reliably.
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 / TypeScript).
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.
Collaborate with product managers, stakeholders, and engineering teams to identify high-value work and translate business needs into shipped, working software.
Ensure best practices in security, governance, testing, version control, traceability, and responsible AI usage.
Required Qualifications
Proven track record shipping and operating production software in a cloud environment — deploys, rollbacks, monitoring, and incident response.
Daily, hands-on experience directing AI coding agents/assistants (e.g., Claude Code, Cursor, Copilot, Codex) to plan, implement, test, and ship real features — with the judgment to review and verify their output rather than trust it blindly.
Strong prompting and agent-direction skills: breaking down work, giving agents the right context, and reliably catching incorrect, unsafe, or incomplete output.
Hands-on experience building, training, evaluating, and deploying machine-learning / AI models in production, including comfort with the Python ML stack (e.g., scikit-learn, PyTorch, or similar) and taking models from prototype to production.
Fluency with CI/CD pipelines, Git, automated testing, and modern software-engineering practices, including verifying changes locally before they ship.
Preferred Qualifications
Experience operating multi-tenant SaaS (e.g., database-per-tenant, per-tenant configuration, and applying migrations across many tenant databases).
Strong production-observability instincts — using application logs, metrics, distributed tracing, and telemetry (e.g., Azure Application Insights) to find and verify root cause on the live system.
Key Skills
Work Environment
Dress Code
Travel
EEO Statement
flyExclusive does not discriminate based on race, color, religion, sex (including pregnancy, sex stereotyping, gender identity, gender expression or transgender status), national origin, sexual orientation, physical or mental disability, age, protected genetic information, status as a parent, marital status, political affiliation, or retaliation based on prior protected EEO activity.