Guardrails Jobs
5 open roles mentioning Guardrails
AI Security Engineer
Cargo
Plaid is seeking an AI Security Engineer to be the first line of defense for AI security within the company. This role involves reviewing new AI technologies to identify and mitigate security risks before and after deployment. The engineer will design and implement controls, guardrails, and identity management systems to enable Plaid to leverage AI safely and aggressively without compromising security. This is a critical role in ensuring Plaid can be a leader in AI, both internally and externally, while maintaining a secure environment.
$189k - $243k
Engineer in Residence, Slide AI
LandingAI
Slide AI is building a hosted deck-as-code platform to address the brittleness of AI-generated slides. This role will focus on creating a platform where humans and agents can generate specifications that compile into editable, validated presentations. You will own the product from planning and compilation to editing, validation, and publishing, working closely with AI Fund and users to define scope and build an MVP. The goal is to design a seamless workflow from prompt-assisted drafting to agent-driven deck creation, ensuring all generated decks are editable, inspectable, and trustworthy for presentation.
$120k - $150k
Engineer in Residence, Live Commerce AI
LandingAI
This role focuses on building a real-time AI copilot to assist live-commerce hosts who often manage multiple tasks simultaneously, leading to cognitive overload. The goal is to create a backstage system that enhances host performance across various platforms like eBay Live, Whatnot, TalkShopLive, and Amazon Live. The project involves developing tools for chat management, product information retrieval, inventory control, and post-show content generation, aiming to reduce backstage work while maintaining host authenticity and control.
$30k - $30k
Engineer in Residence, Enterprise Agents
LandingAI
This role focuses on building secure AI agents that operate behind the corporate firewall, addressing the challenge of integrating internal databases, APIs, and legacy systems with LLM stacks without lengthy integration cycles. The goal is to create an agent framework that connects securely to these internal resources, a task-orchestration layer for multi-step actions, and an authentication/access-control layer that respects existing enterprise identity systems and permissions. A monitoring and audit system will also be developed to record agent actions for compliance and debugging.
$120k - $120k
Engineer in Residence, AI Regulatory Intelligence & Operations
LandingAI
This role is focused on building an AI-native regulatory intelligence and operations system. The goal is to create a solution that helps regulated companies manage the constant influx of rules, filings, standards, and guidance. The system will interpret changes, prove compliance, and provide teams with the necessary information to understand what has changed, which obligations are affected, who owns the response, and what evidence will satisfy an audit. This is a 12-week, full-time, on-site residency in Mountain View, California, with the potential for a founder-level role and equity upside if the idea proves successful.
$30k - $30k