Full-Stack Software Engineer (AI-Assisted Development)

If you’re a full-stack engineer who is already using tools like Claude Code, Codex, Cursor, or similar AI-assisted workflows to ship real product work - and you care enough to review, test, and secure every line those tools help produce - this is a chance to build meaningful software in a regulated, mission-critical industry. You’ll join a PE-backed B2B SaaS company modernizing aviation compliance, credentialing, training, and access-control workflows used by airports and aviation organizations.

The Opportunity This is a hands-on full-stack engineering role for an early-to-mid-career engineer who wants ownership, mentorship, and a clear path to grow. The company is moving legacy acquired products toward a newer unified platform while building new capabilities in areas like drug program workflows, fingerprinting, background checks, credentialing, and compliance operations. The work is practical, high-impact, and directly tied to reducing key-person risk while accelerating a major platform transformation. You’ll work closely with a hands-on Head of Engineering who wants to mentor engineers, raise the technical bar, and build a modern AI-forward engineering culture., + Work primarily in modern JavaScript/TypeScript environments, with React and Next.js strongly preferred.

• Help migrate important workflows from legacy systems into a newer platform architecture.
• Build features that support regulated aviation workflows such as compliance tracking, credentialing, background checks, fingerprinting, and related operational processes.

Use AI-assisted development responsibly

• Use AI coding tools to move faster without sacrificing engineering judgment.
• Review AI-generated code for correctness, maintainability, security, edge cases, and bugs.
• Validate outputs through thoughtful testing, manual review, and clear technical reasoning.
• Bring a practical, optimistic view of AI in software development - not hype, not fear, but strong execution.

Contribute to team execution and reliability

• Turn clear product and technical direction into working software quickly.
• Communicate progress, questions, and blockers proactively.
• Work with teammates to improve code quality, documentation, testing practices, and delivery flow.
• Help create a more energized, collaborative engineering team after a period of change., + You’ll work on real software for real customers in a regulated industry where accuracy and reliability matter.
• You’ll be part of a platform modernization effort, not just incremental feature maintenance.
• You’ll get direct access to engineering leadership and a strong mentoring environment.
• You’ll help shape how AI-assisted engineering is used responsibly inside a product team.
• You’ll have room to make a visible impact in a PE-backed SaaS company with meaningful growth expectations., This is not a purely greenfield startup role. There is legacy complexity, regulated workflow complexity, and a real need for engineers who can execute with focus. The right person will be excited by that mix: modern AI-assisted development, practical full-stack product work, and the chance to help move a business-critical platform forward.

• You have strong full-stack engineering fundamentals and enjoy solving product problems, not just writing code.
• You have experience shipping features using AI-assisted or agentic development workflows such as Claude Code, Codex, Cursor, or similar tools.
• You can explain how you validate AI-generated code before it reaches production.
• You are comfortable with JavaScript or TypeScript; TypeScript, React, and Next.js are especially relevant to the new platform work.
• You care about clean, maintainable code and understand the importance of testing.
• You are coachable, direct, and comfortable receiving feedback from senior engineering leadership.
• You can work with urgency while still being careful in regulated, compliance-oriented product domains.
• You are motivated by visible impact in a small-to-mid-sized company environment.

Experience Level This role is open to a range of early-to-mid-level engineers.

• Roughly 3-5 years of software engineering experience is a strong fit.
• Candidates with 1-2 years of experience or strong recent graduate backgrounds may also be considered if they show strong technical signal, hunger, coachability, and shipped project work.
• Nonlinear career paths, startups, project-based work, or recent transitions are not automatic red flags, but you should be able to clearly explain what you built, why you moved, and what will make you successful here., If you’re hungry to build, excited about the future of software development, and ready to use AI tools with real engineering discipline, we’d like to hear from you.