Full Stack Engineer, Assessment Platform

Full Stack Engineer, Assessment Platform

Location: San Francisco, CA
Company Stage of Funding: Series C AI Marketplace ($10B Valuation)
Office Type: Onsite (5 Days Per Week)
Salary: $130,000–$400,000 + Equity

Company Description

We're representing one of the fastest-growing AI companies building the infrastructure that powers the AI economy. Their platform connects leading AI labs and enterprises with a global network of experts who generate the high-quality human intelligence required to train and evaluate frontier AI models.

At the heart of the platform is the assessment engine that evaluates, verifies, and continuously measures the expertise of tens of thousands of professionals worldwide. As a Full Stack Engineer on the Assessment team, you'll build the systems that combine AI-powered evaluation with human judgment, creating scalable assessment experiences that directly influence how the world's leading AI organizations identify and engage top talent.

What You Will Do

• Design, build, and maintain backend services and APIs powering a large-scale AI-assisted assessment platform.
• Own product features end-to-end, from technical design and implementation through deployment and continuous improvement.
• Build scalable evaluation pipelines that combine human expertise with AI-powered scoring and decision-making.
• Develop candidate-facing and expert-facing product experiences using modern frontend technologies.
• Partner closely with Product, AI, and Data teams to translate assessment research into production-ready systems.
• Improve platform reliability, performance, observability, and operational efficiency across assessment infrastructure.
• Design data models and backend architecture supporting high-throughput evaluation workflows.
• Leverage modern AI development tools to accelerate engineering productivity while maintaining high software quality.
• Continuously iterate on product experiences based on user feedback and business outcomes.
• Help shape the future of AI-powered talent evaluation at global scale.

Ideal Background

• 3+ years of professional software engineering experience building production applications.
• Strong backend engineering fundamentals, including API design, distributed systems, relational databases, and scalable backend architecture.
• Experience building full-stack applications using React, TypeScript, and modern web technologies.
• Strong understanding of software engineering best practices, including testing, debugging, performance optimization, and code quality.
• Excellent product instincts with a passion for building user-facing software.
• Comfortable working in fast-paced startup environments with evolving priorities.
• Experience owning projects independently from concept through production deployment.
• Familiarity with modern AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, Codex, or similar.
• Strong communication skills and a collaborative approach to product development.

Preferred

• Experience building or integrating LLM-powered features into production applications.
• Background developing workflow systems, evaluation platforms, marketplaces, or productivity software.
• Experience designing data models supporting AI-powered applications.
• Familiarity with distributed systems and event-driven backend architectures.
• Startup experience with significant product ownership and rapid iteration cycles.
• Strong interest in AI infrastructure, machine learning applications, and developer productivity.
• Experience working closely with product managers, researchers, and cross-functional engineering teams.
• High ownership mindset with a passion for shipping impactful products quickly and reliably.

Compensation and Benefits

• Base salary: $130,000–$400,000.
• Generous equity package vested over four years.
• Bi-annual performance bonus.
• Up to $15,000 relocation assistance.
• $10,000 housing bonus for employees living within 0.5 miles of the office.
• $1,500 monthly meal stipend.
• Complimentary Equinox membership.
• $200 monthly laundry reimbursement.
• $200 monthly wellness reimbursement.
• Comprehensive medical, dental, and vision insurance.
• Opportunity to own one of the company's most mission-critical product areas while building AI-powered assessment systems that determine how thousands of experts contribute to the world's leading frontier AI models.