Backend Engineer - AI Coding Agent

mercor; Deutschland; Remoto; EUR 88.000 - 120.000; Tempo pieno

Descrizione del lavoro

Mercor, a remote-first company, is looking for a Backend Engineer (Coding Agent Experience) to leverage frontier AI coding agents for complex tasks and to design scalable backend systems.

You will review model-generated code for correctness, performance, and maintainability, identify bugs and edge cases, and compare outputs across multiple models, applying sound engineering judgment while working asynchronously to meet deadlines.

Competenze

• 2+ years of professional backend engineering experience.
• Experience building APIs, distributed systems, microservices, or databases.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, or Gemini CLI.
• Ability to evaluate model-generated code and identify bugs and edge cases.

Mansioni

• Use frontier AI coding agents to complete and evaluate complex engineering tasks.
• Review model-generated code for correctness, quality, maintainability, and performance.
• Identify bugs, edge cases, and failure modes in model outputs.
• Compare outputs from multiple frontier models and assess their strengths and weaknesses.
• Apply professional engineering judgment to backend engineering scenarios.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Conoscenze

Backend engineering

Distributed systems

APIs

Microservices

Databases

Code review

Strumenti

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Descrizione del lavoro

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Backend Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role

Role Responsibilities

• Use frontier AI coding agents to complete and evaluate complex engineering tasks.
• Review model-generated code for correctness, quality, maintainability, and performance.
• Identify bugs, edge cases, and failure modes in model outputs.
• Compare outputs from multiple frontier models and assess their strengths and weaknesses.
• Apply professional engineering judgment to realistic backend engineering scenarios.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

• 2+ years of professional backend engineering experience.
• Experience building APIs , distributed systems, microservices, backend platforms, or databases.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
• Ability to evaluate model-generated code and identify bugs, edge cases, and architectural tradeoffs.

Preferred

• Experience working on large-scale production systems.

Compensation & Legal

• $400 per accepted task.
• Typical tasks take approximately 1–3 hours after ramp-up.
• No fixed task limits.
• Compensation is tied to accepted work.