AI Software Developer

EXCLUSIVE JETS LLC•Raleigh, NC

4d•Onsite

About The Position

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.

Requirements

Bachelor’s degree in computer science, software engineering, or a related field — or equivalent professional experience.
Six plus years of professional software development experience, including senior-level ownership of features end-to-end in production.
Strong, current hands-on experience in C#/.NET and TypeScript/JavaScript (React) plus SQL; comfortable using Python for scripting and automation.
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.
Solid experience with REST APIs, backend services, and cloud platforms — Azure preferred (AWS or Google Cloud acceptable).
Strong relational-database and SQL skills — including reading query plans and diagnosing performance — and comfort working directly in the data, not just the application code.
Fluency with CI/CD pipelines, Git, automated testing, and modern software-engineering practices, including verifying changes locally before they ship.
Ability to translate business requirements into working software, delivered with AI-assisted development.
Must be authorized to work lawfully in the United States without sponsorship.

Nice To Haves

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.
Familiarity with model evaluation, monitoring, and MLOps practices that keep production models reliable over time.
Experience integrating LLM APIs (e.g., Anthropic Claude or Azure OpenAI) into product features, and power-user familiarity with the Claude/Anthropic API or Claude Code.
Knowledge of data governance, security, privacy, and responsible AI principles.

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.
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 / TypeScript).
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, 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.
Document architecture, workflows, technical decisions, and deployment standards.