Senior Full-Stack Engineer (AI-Native)

Remote (United States)

Job Details

Location: United States

Workplace: Remote

Employment Type: Full-time

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

Core Areas: Full-stack engineering, Python, JavaScript/TypeScript, AI agent orchestration, LLM APIs, RAG and vector databases, REST/GraphQL APIs, AWS cloud deployment

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.

The position combines Python, modern JavaScript/TypeScript, SQL, REST/GraphQL APIs, cloud deployment, and advanced AI engineering. The engineer will build production AI agents, work with LLM APIs, RAG, vector databases, prompt engineering, evals, and agent orchestration, while integrating systems such as Salesforce, Snowflake, Gmail, Zoom, Slack, and internal tools.

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

• Strong full-stack engineering range across Python, modern JavaScript/TypeScript, SQL, REST/GraphQL APIs, and cloud deployment, with AWS preferred.
• 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.

Benefits

• 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.