Senior Application Security Engineer - AI Code Evaluation

Braintrust; Portugal; Remote; EUR 70,000 - 120,000; Full time

Job summary

Braintrust is seeking a seasoned software engineer to help a top AI lab evaluate and improve large language models through security-focused coding tasks. You will evaluate vulnerabilities, reproduce exploits, verify patches, and create prompts and reference answers; assess model outputs for code generation, debugging and refactoring.

Remote contracting with international eligibility and flexible engagement terms.

Qualifications

• At least five years of professional software development experience and strong Python skills.
• Hands-on experience with vulnerability research, exploit reproduction or verification, or implementing security patches.
• Ability to apply structured evaluation criteria and provide clear technical feedback.

Responsibilities

• Evaluate coding tasks involving vulnerabilities, exploit verification and security patches.
• Create high-quality coding prompts and reference answers for benchmark problems.
• Evaluate model outputs for code generation, refactoring, debugging and implementation.
• Identify and document model failures, edge cases and reasoning gaps.
• Compare private language models with leading external models.
• Build or configure coding environments for evaluation and reinforcement learning.
• Follow detailed annotation and evaluation guidelines consistently.

Skills

Python

Vulnerability research

Exploit verification

Security patches

English fluency

Job description

Help a top AI lab evaluate and improve large language models through security-focused coding tasks. Bring your software-engineering judgment and hands‑on security experience to work involving vulnerabilities, exploit verification and security patches.

This is a contracting engagement, with potential for a longer-term engagement. Remote candidates in the selected countries are elegible.

What you will do

• Evaluate coding tasks involving software vulnerabilities, exploit verification and security patches.
• Create high-quality coding prompts and reference answers for benchmark-style problems.
• Evaluate model outputs for code generation, refactoring, debugging and implementation.
• Identify and document model failures, edge cases and reasoning gaps.
• Compare private language models with leading external models.
• Build or configure coding environments for evaluation and reinforcement learning.
• Follow detailed annotation and evaluation guidelines consistently.

What you bring

• At least five years of professional software-development experience and strong Python skills.
• Hands‑on experience with vulnerability research, exploit reproduction or verification, or implementing, backporting or validating security patches.
• The ability to apply structured evaluation criteria and write clear technical feedback.
• Fluency in written and spoken English.

Helpful, not required

• Professional code review, coding annotation, LLM/code evaluation or benchmark design.
• Knowledge of another programming language.
• Team leadership or mentoring experience.