Fullstack Engineer: Build AI Assessment & Talent Platform

Mercor, Inc.; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Performance bonus

Equity grant

Relocation bonus

Proximity bonus

Meal stipend

Equinox membership

Laundry reimbursement

Wellness reimbursement

Health insurance

Job summary

Mercor, Inc. is seeking a Member of Technical Staff on the Talent Experience team to build backend-heavy, full-stack systems that evaluate skills and expertise at scale.

You will own the evaluation pipelines and data models powering AI-assisted interviews and skill verification for tens of thousands of candidates and experts. You'll work directly with the Assessment product lead on roadmap and execution with significant ownership from day one, delivering high-quality software in a fast-paced

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 (e.g. 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 (e.g. Cursor, Claude Code, GitHub Copilot, Codex, or similar) 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 APIs

Data modeling

Distributed systems

Relational databases

Frontend React/TS

LLM integration

Testing & debugging

Performance optimization

Product intuition

Tools

Cursor

Claude Code

GitHub Copilot

Codex

Job description

Mercor, Inc. is seeking a Member of Technical Staff on the Talent Experience team to build backend-heavy, full-stack systems that evaluate skills and expertise at scale.

You will own the evaluation pipelines and data models powering AI-assisted interviews and skill verification for tens of thousands of candidates and experts. You'll work directly with the Assessment product lead on roadmap and execution with significant ownership from day one, delivering high-quality software in a fast-paced