Senior Software Engineer - AI Infrastructure
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- RustMLOpsDistributed Systems
Requirements
- 5+ years of experience in software engineering with a focus on large-scale production systems
- Strong proficiency in Rust and systems-level programming
- Solid understanding of distributed systems, concurrency, and performance optimization techniques
- Experience operating high-traffic or high-throughput services serving large user bases
- Familiarity with machine learning infrastructure, model serving, or MLOps practices in production
- Experience designing observability, monitoring, and reliability frameworks for complex systems
- Strong problem-solving mindset with a focus on ownership and production stability
- Excellent collaboration skills across infrastructure, ML, and product engineering teams
Responsibilities
- Design and build scalable infrastructure systems powering AI agent and model-driven platforms in production environments
- Develop high-performance Rust-based services for model inference, orchestration, and execution workflows
- Architect distributed systems capable of handling large-scale traffic, ensuring reliability, low latency, and high throughput
- Build and improve ML infrastructure, including model deployment, evaluation, monitoring, and lifecycle management
- Define and implement observability, monitoring, and failure recovery mechanisms for complex agent-based systems
- Optimize system performance, including cost efficiency, latency reduction, and throughput improvements
- Collaborate with AI and agent engineering teams to move prototypes into production-grade systems
- Contribute to key architectural and infrastructure decisions in a high-impact engineering environment
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