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Staff Attack Engineer, AI/LLM

Join Horizon3.ai as a Staff Attack Engineer to develop automated attacks for AI/LLM systems in a fully remote environment.

Location
US, Remote
Compensation
$223k–$275k/yr
Level
staff
Type
full time · Remote

Posted by employer 6 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 1 day ago

Apply at Horizon3.ai → Save job Scanned from horizon3.ai

Skills & Technologies

AI in the day-to-day

You will break AI and agentic systems and turn that research into automated attacks inside NodeZero.

Not disclosed in this posting: years of experience, visa sponsorship.

Benefits

Equity/Stock Options Remote Work Health Insurance Parental Leave

Joblaze summary

In the role of Staff Attack Engineer at Horizon3.ai, the individual will focus on developing automated attack patterns targeting AI and agentic systems within the NodeZero platform. Key skills include expert-level Python programming, penetration testing fundamentals, and a deep understanding of AI/LLM security frameworks. This position is ideal for seasoned professionals with a background in offensive security who are adept at driving complex programs and possess a proactive mindset. Horizon3.ai fosters a collaborative and innovative culture, emphasizing growth and inclusivity.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Horizon3.ai's careers page October 26, 2026.
  • Salary band is above the typical range for Security roles (median ~$170,000).
  • Starts above 70% of 67 comparable staff security roles that list Python we track (median $203,000 across 31 companies). See Python salary trends
  • Python appears in 44.3% of 201 comparable staff security roles; LLM appears in 2% of 201 comparable staff security roles.

Quick facts

Is the Staff Attack Engineer, AI/LLM role remote?
Yes — Horizon3.ai lists this as a fully remote position.
What's the salary range?
Horizon3.ai lists $223,000–$275,000 for this role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, LLM, NodeZero, Python.
What seniority level is this role?
Horizon3.ai targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Attack Engineer, AI/LLM role at Horizon3.ai.

From the original posting

Get to Know Us

Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. 

 

Summary

We are hiring a Staff Attack Engineer specializing in AI/LLM security to join our team. You will break AI and agentic systems and turn that research into automated attacks inside NodeZero, our autonomous pentesting platform.

This is not consulting or manual pentesting; the goal is to build repeatable, scalable attack patterns that run autonomously across customer environments. You’ll also help drive our LLM-powered offensive capabilities and act as a technical leader for AI/LLM offense.

Essential Functions

Attacking AI/LLM Systems

  • Break AI and agentic systems and translate that research into automated, repeatable attack modules for NodeZero.

  • Design and execute prompt injection and defense evasion attacks, focusing on generalized, reusable patterns.

  • Conduct tool-use exploitation, abusing LLM agents’ access to code, file systems, APIs, and databases for attacker-realistic outcomes (e.g., context poisoning, RCE, data exfiltration, privilege escalation).

  • Target AI infrastructure (model serving, training pipelines, vector databases, GPU/MLOps tooling) with an understanding of real-world enterprise deployments and misconfigurations.

  • Research and apply model and supply chain attacks (poisoning, training data extraction, adversarial inputs, deployment pipeline abuse).

  • Perform threat modeling for agentic systems, mapping trust boundaries and attack surfaces and turning them into concrete attack paths.

  • Apply a strong productization mindset, turning manual techniques into safe, reliable, and scalable automated tooling.

Building with LLMs

  • Build and extend LLM-powered applications (prompting, structured output, agentic workflows).

  • Design with production concerns in mind: cost, safety and hallucination guardrails, reliability, and observability.

  • Design and extend microservices that orchestrate LLM tasks and integrate with NodeZero and related offensive workflows.

Competencies / Requirements

  • Expert-level Python and software engineering skills.

  • Solid penetration testing fundamentals and understanding of common attack chains.

  • Familiarity with AI/LLM security frameworks (e.g., OWASP Top 10 for LLMs, MITRE ATLAS).

  • Experience in a security product or offensive security team, ideally with shipped offensive capabilities or tooling.

  • Proven ability to break AI/LLM and agentic systems.

  • Clear understanding of trust boundaries around AI tools, data sources, and permissions, and how to systematically test and exploit them.

  • Expert-level ownership – drives high-complexity, high-risk programs and sets strategy, not just execution.

  • Self-motivated – identifies problems and builds solutions proactively.

  • Industry obsessed – tracks the fast-moving AI security landscape and can speak to recent developments, new attacks, and where the field is heading.

Nice-to-Have

  • Experience with other cloud AI services (e.g., Azure OpenAI, GCP Vertex AI).

  • Contributions to AI security research (blog posts, conference talks, CVEs, open-source tools).

  • Experience with AWS Bedrock and AWS Agent Core.

  • Familiarity with graph databases (e.g., Neo4j).

  • Background in traditional exploit development or vulnerability research.

  • CTF experience, particularly in AI/ML-focused challenge categories. 

Perks of Horizon3

  • Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.

  • Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work. 

  • Base salary range: $235,000 - $275,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.

You Belong Here

Horizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.

Standard company text repeated across Horizon3.ai's postings is omitted here.

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