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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Security Engineer (AI & Agentic Systems) - **Company:** Uber - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $171,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Software System Penetration Testing, Python (Programming Language), Role-Based Access Control, Red Team (Cyber Security), Large Language Models, Multi-Agent Systems, Software Security, AI Platforms, Golang - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0b1e29b775f8786b ## About the Role * 3+ years of experience in security engineering, offensive security, red teaming, or AI security. * Hands-on experience red-teaming AI models or AI agents, including testing for prompt injection, jailbreaks, unsafe behavior, Excessive agency, Model DoS. * Strong understanding of security fundamentals (threat modeling, secure design, least privilege, defense in depth). * Ability to clearly document findings and communicate risk to both technical and non-technical stakeholders * Proficiency in at least one programming language (e.g., Python, Go, Java, or similar) - Preferred Qualifications - * Familiarity with AI security tools and frameworks (e.g., PyRIT, AgentDojo, Promptfoo, custom harnesses). * Good understanding of GenAI and LLM architectures, including: embeddings, RAG, or agent frameworks. * Hands-on experience executing AI Red Teaming exercises, including prompt injection/jailbreaking, unsafe behavior/behavioral drift, model/tool poisoning.Offensive security / penetration testing background (e.g., red team, bug bounty, exploit development). ## Description As AI systems-especially agentic and autonomous AI-become deeply embedded in our products and internal platforms, the security model must evolve. Traditional application security alone is no longer sufficient. We are looking for an AI Red Team Engineer to help us proactively identify, understand, and mitigate AI-native and agent-specific security risks before they reach production. In this role, you will build and execute adversarial red-teaming exercises against AI models and AI agents, focusing on how they can be manipulated into unsafe, unintended, or harmful behavior. You will work closely with AI platform teams, product engineers, and security partners to stress-test agent logic, tool usage, memory, and autonomy-and translate findings into concrete guardrails and defenses. This role is ideal for someone who enjoys thinking like an attacker, understands modern AI systems, and wants to work at the intersection of security, AI, and real-world impact. - What the Candidate Will Do - This role sits at the intersection of offensive security and AI engineering. You will not be limited to traditional penetration testing; instead, you will focus on behavioral, logical, and contextual attacks that cause AI systems to fail in subtle but dangerous ways-often without exploiting classic vulnerabilities. Success in this role means uncovering unknown unknowns," clearly articulating risk, and helping teams build safer AI systems by design. Design and execute AI red-teaming exercises against LLMs and AI agents, including: * prompt injection (direct & indirect) * jailbreaking and policy bypass * model and tool poisoning * memory and context poisoning * behavioral drift and unsafe autonomy * tool misuse and emergent privilege escalation Analyze agent workflows, logic, and tool graphs to identify systemic security weaknesses beyond prompt-level attacks. Develop reusable adversarial test cases, attack libraries, and red-team playbooks for AI systems. Collaborate with AI platform and product teams to translate red-team findings into actionable mitigations, guardrails, and design changes. - Basic Qualifications - ## Related Videos - [The New AI Security Stack: Observe, Detect, Protect](https://www.wearedevelopers.com/videos/100302-the-new-ai-security-stack-observe-detect-protect) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Software Security 101: Secure Coding Basics](https://www.wearedevelopers.com/videos/220-software-security-101-secure-coding-basics) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Building Agents Securely at Scale - Alfonso Graziano](https://www.wearedevelopers.com/videos/1862-building-agents-securely-at-scale-alfonso-graziano) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing)