Design, build, and maintain an AI agent platform and related infrastructure, support DevOps operations, and enable engineering teams to adopt AI technologies.
Responsibilities
Design, build, and maintain our AI agent platform, including multi-agent orchestration, tool integrations, context management, and agent execution.
Develop robust evaluation and testing frameworks for AI agents, including automated evals, regression testing, and quality monitoring.
Build observability for AI systems, covering execution tracing, reliability, latency, performance, and cost optimization.
Implement security and governance for agentic systems, including access controls, human-in-the-loop approvals, audit logging, and safe execution.
Build and maintain the infrastructure required to deploy, scale, and operate AI applications in production.
You’ll work in a fast-paced, high-energy warehouse in a variety of different functions including leading your warehouse team to meet production goals by training and coaching your team members.
Compensation
Hourly pay depends on years of experience, starting at $20.23 per hour based on experience
Responsibilities
leading your warehouse team to meet production goals by training and coaching your team members
stay active throughout your entire shift in our fast-paced warehouse environment
monitor production reports ensuring hourly KPI’s are met and/or exceeded
Build and maintain responsive websites and e-commerce capabilities for DigiStor’s secure data storage solutions.
Responsibilities
Develop and maintain responsive websites, product pages, and reusable components that work consistently across desktop and mobile devices.
Implement and improve e-commerce workflows, including product catalogs, search, shopping carts, checkout, payment gateways, and order handling.
Configure and integrate content management and commerce platforms, connecting APIs and services for shipping, tax, inventory, CRM, or analytics as required.
Translate business and design requirements into maintainable code, practical delivery estimates, and clear milestones; communicate progress and risks.
Improve website accessibility, technical SEO, and usability, including the customer journey from product discovery to checkout.
Lead product-facing machine learning initiatives across brand safety, sponsor detection, topic classification, video analysis, customer 360, and entity resolution for Beast Industries’ creator platforms.
Locations (2)
São Paulo, Brazil
Brazil
Compensation
[$78,000–$90,000 USD ] + equity + bonus 15%
Responsibilities
Develop, evaluate, and deploy machine learning models across brand safety, sponsor detection, topic classification, and video analysis, along with customer 360 records and entity resolution, owning them from experimentation through production monitoring.
Build and maintain the data pipelines and feature workflows your models depend on, working with both SQL and NoSQL data at scale.
Partner with engineers, product, and business teams across the company to turn ambiguous questions into measurable models and clear analyses.
Coach and level up other engineers, setting the example for how ML work gets scoped, built, evaluated, and shipped.
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