Python with LLM

About Company

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,” They 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 Open AI, Google, Anthropic, and Meta.

Job Title: Python

Location: Pan India

Experience: 3+ yrs.

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiners

• 2+ yrs hands-on offensive security or adversarial ML experience, including at least 1 yr on LLM or prompt-injection testing.

• Deep fluency withbothclassic AppSec techniques (XSS, CSRF, SSRF)andLLM-specific issues (jailbreaks, hidden prompt channels).

• Comfortable orchestrating attacks that chain browser automation, terminal commands, HTTP requests, and API calls.

• Solid Python/bash; can prototype tooling inside a constrained VM.

• Track record of clear vulnerability write-ups (CVE, HackerOne, or internal bug bounty).

• Working knowledge of privacy & financial-risk policies (GDPR, SOC2, or comparable).

Nice-to-Have

• Published research or conference talks on AI red-teaming (DEF CON, Black Hat, MLSecOps, etc.).

• Familiarity with OpenAI policy taxonomy (PD1-PD5, FA1-FA3).

• Certifications: OSCP, GXPN, or CCSK (cloud).