Full Stack AI Engineer

This is a fully remote position, open to applicants in Brazil, +5 more countries.

📋 Description

• Design and orchestrate AI agents that identify actions and create workflows within customer infrastructure.

• Architect multi-agent systems that connect data sources and operate reliably in a production environment.

• Develop agent logic, tool utilization, memory systems, and orchestration layers for enterprise deployments.

• Take ownership of both front-end and back-end development throughout the product lifecycle.

• Construct interfaces, APIs, data pipelines, and infrastructure components.

• Contribute to architectural decisions from a systems perspective regarding the product.

• Deploy and manage AI models within customer VPC environments ensuring zero data egress.

• Support model training workflows utilizing customer-specific historical data.

• Monitor the performance of production models and iterate based on real-world outcomes.

• Validate model deployments using historical data prior to production release.

• Transform ambiguous challenges into functional systems without extensive specifications.

• Deliver swiftly, assess results, and iterate using signals from production.

• Proactively identify and tackle architectural enhancements and technical debt.

• Clearly document systems for reliable team development.

⛳️ Requirements

• Demonstrated full stack engineering expertise across front-end, back-end, and infrastructure.

• Proven experience in AI and agent engineering, specifically in building and deploying large-scale systems.

• Experience in deploying AI models within enterprise or VPC environments.

• Background in designing and constructing multi-agent orchestration systems with tool utilization and memory features.

• Strong engineering judgment to scope, architect, and execute tasks independently.

• Exceptional written communication skills for asynchronous collaboration within a distributed team.

• A portfolio link or GitHub showcasing AI systems or full stack projects that have been built and deployed in production.

• A brief Loom video (1 to 2 minutes) introducing yourself and outlining your architectural decisions.

• Both a portfolio and Loom video are mandatory to progress to the next stage of the hiring process.

🏝️ Benefits

• Paid Time Off in accordance with company policy.

• Observance of Holidays as per company guidelines.

• 100% remote work setup.

• Compensation in USD, bi-monthly (on the 15th and 30th).

• Opportunity to work on an enterprise AI platform with documented Fortune 500 deployments and measurable production outcomes.

• High-ownership engineering role with direct influence over architecture, product direction, and AI system design.