AI Software Developer

Job Details: Level: Experienced, Job Location: Raleigh, NC, Position Type: Full Time, Education Level: Bachelor's Degree, Travel Percentage: Up to 25%, Job Shift: Day 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. 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. Required Qualifications 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. 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. 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. Key Skills AI‑assisted, agentic software development Production debugging and root‑cause analysis Directing and verifying AI coding agents Machine‑learning model development and deployment API development and system integration Cloud architecture and deployment Relational databases and SQL (performance and query plans) Problem‑solving and analytical thinking Communication and cross‑functional collaboration Being a self‑starter who is highly motivated with strong initiative Strong ability to problem‑solve under pressure daily Comfort learning quickly and adapting to change What Success Looks Like Ships production‑ready software quickly by directing AI agents — with correctness, traceability, and no silent failures. Improves operational efficiency, decision‑making, or customer experience through AI. Builds reliable, secure, and scalable systems with measurable performance outcomes. Serves as a strong technical contributor and thought partner across engineering and business teams. Work Environment Monday through Friday in our Raleigh office (not a remote or hybrid position) Typical office and computer lab environment Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. Dress Code Well‑groomed appearance Adherence to department dress code Travel Limited travel may be required. 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. Qualifications #J-18808-Ljbffr