Experience: 3 - 25 years

Max Experience: 25

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,”enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Title: Application Security Engineer

Location: Pan India

Experience: 3+ yrs.

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiners

Roles & Responsibilities Role Overview

We are looking for highly skilled Cybersecurity Experts to design and develop advanced evaluation tasks for frontier AI models. In this role, you will create realistic, adversarial security scenarios that test an AI model’s ability to understand code, detect vulnerabilities, and reason about complex software security problems.

This is not a traditional security role — you will work at the intersection of offensive security, defensive engineering, and AI evaluation, building reproducible environments and deterministic benchmarks grounded in real-world vulnerability classes.

What does day-to-day look like

Design and develop multi-vulnerability (multi-CWE) codebases across languages such as Go, Python, Node.js, or Rust





Create multi-stage attack chains by combining multiple vulnerability classes into realistic exploit scenarios

Build deterministic evaluation frameworks using containerized environments and automated verification systems

Write security test cases and exploit checks to ensure vulnerabilities are properly detected and mitigated

Analyze AI model outputs and reasoning traces to identify failure points in security understanding

Craft adversarial scenarios including misleading documentation, obfuscated code, and edge-case logic

Balance between real-world CVE-based scenarios and synthetic vulnerability classes to ensure robust evaluation

Ensure evaluation tasks are reproducible, scalable, and resistant to data contamination

Requirements 4+ years of experience in cybersecurity, application security, or vulnerability research

Hands-on experience with:Vulnerability discovery (CVE exposure, bug bounty, red teaming, or CTFs)

Secure code review and production-grade patching

Deep understanding of:Web security (authentication, sessions, OAuth, JWT vulnerabilities)

SSRF, injection attacks (command, template, workplace), and access control issues

Cryptographic vulnerabilities (timing attacks, padding oracles, misuse patterns)

Filesystem vulnerabilities (TOCTOU, symlink attacks, path traversal)

Experience building or using security tools (SAST, fuzzing, IAST, etc.)

Proficiency in at least one of the following languages: Go, Python, Node.js, Rust

Familiarity with:Docker and containerized environments

Linux internals and system-level behavior

Experience in penetration testing

Writing automated tests (e.g., pytest or similar frameworks)

Ability to read and analyze obfuscated or minified code

Strong problem-solving and analytical skills, especially in attack chain reasoning

Role Overview

📌 Contract Position:Application Security Engineer (Hyderabad)
🏢 People Prime Worldwide
📍 Hyderabad