Senior Full-Stack Engineer (AI-Native)

Experience: 5+ years of professional software engineering experience with senior-level ownership of production systems

Compensation: Base salary starting at $110,000 per year plus a performance bonus of up to 20% of base salary

About the Role

This opportunity is for a Senior Full-Stack Engineer (AI-Native) to own production software projects end to end across backend, frontend, deployment, and post-launch iteration. The role focuses on rapidly turning business requirements into working customer-facing products and internal tools while maintaining senior-level ownership of architecture, testing, scalability, and production readiness.

What You'll Do

• Own projects end to end across backend development, frontend development, deployment, and iteration after production launch.
• Design and launch AI agents that interact with customers and connect their performance to measurable business results.
• Work with AI architecture leadership on system design and the continued evolution of the shared AI platform.
• Build against shared integrations including Salesforce, Snowflake, Gmail, Zoom, Slack, and internal tools.
• Evaluate established open-source projects before building custom solutions when the functionality is not core intellectual property, reducing unnecessary support and upgrade overhead.
• Use AI development tools as the default engineering workflow while reviewing, auditing, testing, and correcting generated code before release.
• Ship functional initial versions quickly, then improve them through rapid production iteration rather than delaying delivery for unnecessary perfection.
• Own testing from unit testing through integration testing and ensure software meets production-readiness standards before release.
• Take incomplete projects through completion when needed, including work that has already been partially implemented.
• Apply AI-assisted development patterns that improve engineering speed while maintaining sound engineering judgment and scalable system design.
• Work directly with stakeholders across operations, sales, underwriting, marketing, and finance to translate business requirements into production software.
• Build and own production systems with measurable impact on conversion, operating cost, funding volume, speed, accuracy, or ROI.

Qualifications

Required Experience

• 5+ years of professional software engineering experience with senior-level ownership of production systems.
• Demonstrated experience shipping production features using Claude Code, Cursor, Codex, Devin, or similar AI development tools as a primary engineering workflow rather than occasional experimentation.
• A recent example, within the last six months, of using AI tooling to deliver software approximately three to five times faster than would have been possible without it.
• Experience taking software projects through completion and production release, including partially completed projects that require additional engineering to become production-ready.

Required Skills

• Deep practical experience with AI agent orchestration, including loops, graphs, multi-step tool use, and multi-agent patterns using LangGraph or similar technologies.
• Production experience with LLM APIs, retrieval-augmented generation (RAG), vector databases, prompt engineering, and AI evaluation workflows.
• Ability to design, test, and operate AI capabilities as production systems rather than limiting them to prototypes.
• Strong understanding of unit testing, integration testing, and production-readiness standards.
• Ability to recognize incorrect or unsafe AI-generated code and apply core software engineering principles to review, audit, and correct it before release.
• Strong build-versus-adopt judgment and familiarity with the open-source AI ecosystem, including the ability to identify established community projects instead of unnecessarily rebuilding existing functionality.
• Ability to work independently, manage changing priorities, communicate blockers proactively, and deliver functional software with rapid iteration cycles.

Preferred Qualifications

• Experience with Salesforce APIs, Snowflake, or fintech and lending data models.
• Contributions to open-source AI projects.
• Experience shipping software independently or as part of a small founding team.
• Medical, dental, and vision coverage.
• 401(k) plan.
• Flexible paid time off and observed holidays.
• Remote-first work environment with support for a home-office setup.
• Direct access to leadership and high-impact business and engineering problems.