You must live in LATAM for this fully remote + part time role. You must have exceptional English — both written and spoken — if not, this role isn’t for you.

Company Overview

Our client is an AI consulting startup building Vida AI, a next-generation platform designed to help organizations adopt AI safely, securely, and responsibly. With a focus on protecting data, ensuring compliance, and embedding safety into AI systems, the company is tackling some of the most pressing challenges in technology today: cybersecurity, AI reliability, and responsible AI use.

Backed by strong early traction and a small, agile team, this is a unique opportunity to build the security foundation of a category-defining product. The company operates in a remote-first culture, values ownership and accountability, and gives its team the autonomy to experiment, innovate, and make a direct impact from day one.

If you want to work at the intersection of AI and cybersecurity, solving real-world challenges that matter, this role is for you.

We’re looking for a Security & AI Safety Developer to work part time in LATAM, to design and build secure infrastructure for Vida, our AI consulting platform. This isn’t just about configuring tools — you’ll be coding the systems that protect clients, safeguard data, and ensure AI remains reliable and compliant.

This is a hands-on technical role where you’ll architect authentication systems, implement AI guardrails, and establish monitoring/testing frameworks to keep security front and center. You’ll collaborate with a lean, entrepreneurial team, move fast, and see your work directly shape the product.

Responsibilities

• Build and implement enterprise-grade authentication & session management (OAuth 2.0, OIDC, MFA, secure token storage, session rotation).
• Design security infrastructure: rate limiting, brute-force protection, TLS 1.2+, security headers, and API hardening.
• Implement AI safety measures: prompt injection defenses, input sanitization, guardrails, model validation, and safe fallback systems.
• Set up testing & monitoring frameworks: automated unit/security tests, vulnerability scanning, penetration testing, and continuous monitoring.
• Manage security in Azure environments (Key Vault, secrets, certificates).
• Champion best practices around secure coding, infrastructure, and AI safety across the platform.

• Strong software development background (hands-on coding required - focused on AI Safety languages).
• Proven experience with OAuth 2.0 / OIDC flows, MFA, and secure session management.
• Solid track record implementing security infrastructure (rate limiting, brute-force defense, TLS, headers, etc.).
• Familiarity with automated testing frameworks and penetration/security testing.
• Exposure to AI safety / LLM guardrails (or strong willingness to learn quickly).
• Bonus: Experience with Azure security (Key Vault, certificates, TLS).
• Self-starter comfortable in a fast-paced, startup environment — adaptable, resourceful, and solution-oriented.

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