Senior Software Engineer – AI Infrastructure

📋 Description

• Design, develop, and maintain the infrastructure layer that powers AI agent systems in production
• Build high-performance backend services using Rust to support model inference, agent orchestration
• Architect scalable distributed systems capable of handling high request volumes and supporting
• Establish foundational infrastructure components and reusable system primitives that enable AI
• Contribute to critical architecture decisions, balancing performance, reliability, scalability, and
• Develop and maintain reliable infrastructure for model serving, deployment, evaluation, and

🎯 Requirements

• At least five years of experience building, deploying, and operating high-scale production software
• Strong proficiency in Rust and systems-level programming, with the ability to develop efficient
• Deep understanding of distributed systems, including service communication, concurrency, fault
• Proven experience optimizing system performance, particularly latency, throughput, resource
• Experience operating services that support millions of users or handle high-throughput workloads in
• Familiarity with machine learning infrastructure, model serving, or MLOps practices in production

🎁 Benefits

• Employment type: Full-time position.
• Work arrangement: Fully remote, with Brazil included among the eligible hiring locations.
• Competitive compensation: Salary and compensation details are not specified in the original job
• High-impact engineering: Opportunity to build foundational AI infrastructure supporting intelligent
• Technical ownership: Direct involvement in architectural decisions, infrastructure design, and
• Advanced technology environment: Hands-on work with Rust, distributed systems, AI agent