Application Security Engineer – AI | $23/hr Remote

Crossing Hurdles; India; Remote; INR 2,459,000 - 3,502,000; Part time

Job summary

Crossing Hurdles is seeking a Senior AI Security Engineer to design, implement and test vulnerabilities in LLM-powered systems. You will build runnable agents and RAG workflows to detect security gaps, annotate data paths and craft deterministic controls, while documenting root causes and remediation steps.

This is a remote, contract role (20–40 hours per week) that emphasizes practical coding in Python and TypeScript, strong authorization knowledge, and experience with taint analysis and OWASP

Qualifications

• 5+ years in application security or security-focused software engineering.
• Experience with source-to-sink analysis and taint analysis methods.
• Hands-on experience building LLM agents or RAG systems.
• Strong knowledge of authorization principles and access controls.
• Production coding experience in Python and/or TypeScript.
• Familiarity with OWASP LLM security risks and threat modeling.
• Ability to distinguish genuine security findings from non-findings.

Responsibilities

• Build runnable agent and RAG repositories for vulnerability detection.
• Create various code versions to test for security vulnerabilities.
• Trace and annotate assets, data paths, and root causes of vulnerabilities.
• Define authorization contexts and write deterministic validation tests.
• Recommend security controls and participate in peer review processes.
• Evaluate the effectiveness of static analysis tools in GenAI applications.
• Explain vulnerabilities through testing and documentation.

Skills

Application security

Security engineering

LLM security

RAG systems

Python

TypeScript

Tools

Python

TypeScript

Job description

Position: Senior AI Security Engineer LLM Vulnerability

Type: Contract

Compensation: $23/h

Location: Remote

Commitment: 20 - 40 hours/week

Role Responsibilities

• Build runnable agent and RAG repositories for vulnerability detection
• Create various code versions to test for security vulnerabilities
• Trace and annotate assets, data paths, and root causes of vulnerabilities
• Define authorization contexts and write deterministic validation tests
• Recommend security controls and participate in peer review processes
• Evaluate the effectiveness of static analysis tools in GenAI applications
• Explain vulnerabilities through testing and documentation

Requirements

• 5+ years in application security or security-focused software engineering
• Experience with source-to-sink analysis and taint analysis methods
• Hands-on experience building LLM agents or RAG systems
• Strong knowledge of authorization principles and access controls
• Production coding experience in Python and/or TypeScript
• Familiarity with OWASP LLM security risks and threat modeling
• Ability to distinguish genuine security findings from non-findings