Full-Stack Engineer — AI Assessment Platform, Equity

Mercor; San Francisco (CA); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Bi-annual performance bonus

Equity grant (4 years)

Relocation bonus up to $15k

Proximity bonus (live within 0.5 miles

Meals stipend $1,500/month

Equinox membership

Laundry reimbursement

Wellness reimbursement

Health, Dental, Vision insurance

Job summary

Mercor is seeking a Member of Technical Staff to build backend-heavy, full-stack systems powering the world’s top talent evaluation at scale. You’ll design evaluation pipelines, ship services for AI-assisted interviews, and deliver candidate and expert-facing features from day one.

You\'ll collaborate with Product, AI, and Data teams to turn assessment research into production systems, owning key features end-to-end and driving improvements in throughput and quality of the platform.

Qualifications

• 3+ years of professional software engineering experience building production systems.
• Strong backend fundamentals: API design, data modeling, distributed systems, and relational databases.
• Comfortable working across the stack, including modern frontend frameworks (React/TypeScript) when the product needs it.
• Experience building or integrating LLM-powered features in production is a strong plus.
• Comfortable building products using modern AI development tools to accelerate software development.
• Strong software engineering fundamentals, including testing, debugging, and performance optimization.
• Excellent product intuition—you enjoy building products that people actually use.
• Comfortable working in fast-moving environments with evolving priorities.
• High ownership, curiosity, and a bias toward shipping.

Responsibilities

• Design, build, and ship backend services and APIs that power Mercor's assessment platform at scale.
• Own features end-to-end—from product discussions and technical design to implementation, testing, and release.
• Build evaluation pipelines and data models that combine human judgment with AI-powered scoring.
• Contribute across the stack, including the candidate- and expert-facing product surfaces of assessment flows.
• Partner closely with Product, AI, and Data teams to translate assessment research into production systems.
• Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar.
• Improve the performance, reliability, and observability of assessment infrastructure.
• Solve real customer problems and continuously improve candidate and expert experience.

Skills

Backend development

API design

Data modeling

Distributed systems

Relational databases

Frontend (React/TypeScript)

LLM integration

AI tooling (Cursor, Claude Code, GitH_

Testing

Performance optimization

Ownership & shipping

Tools

Cursor

Claude Code

GitHub Copilot

Codex

Job description

Mercor is seeking a Member of Technical Staff to build backend-heavy, full-stack systems powering the world’s top talent evaluation at scale. You’ll design evaluation pipelines, ship services for AI-assisted interviews, and deliver candidate and expert-facing features from day one.

You\'ll collaborate with Product, AI, and Data teams to turn assessment research into production systems, owning key features end-to-end and driving improvements in throughput and quality of the platform.