AI Security & Platform Engineer

Adversarially test AI agents and infrastructure to identify and remediate security vulnerabilities across prompts, data, tools, integrations, and execution environments.

Build platform-level security controls, automated evaluations, monitoring, and secure infrastructure to prevent recurring AI security risks.

Take ownership of AI security initiatives by contributing code fixes, security tooling, threat models, and improving auditability and incident response capabilities.

2–3 years of hands-on experience in AI engineering, backend/platform engineering, application or infrastructure security, or related field.

Experience with production AI systems using LLM APIs, agents, tool calling, RAG, or similar AI technologies.

Strong programming skills in Python, TypeScript, Go, or another relevant language.

Understanding of web and API security fundamentals including authentication, authorization, injection, tenant isolation, secrets management, and cloud infrastructure security.

Experienced in offensive security testing of AI systems including prompt injection, context poisoning, and unauthorized tool or data access.

Comfortable with hands-on engineering tasks spanning code debugging, threat modeling, vulnerability reproduction, and building automated security tests.

Skilled at working across AI model behavior, system integrations, and platform infrastructure to build reusable security guardrails and improve operational observability.