Senior Software Engineer – AI Infrastructure

About the role

The AI Infrastructure team at Payward builds and operates the production systems that power intelligent agents at scale. This senior engineering position focuses on designing, implementing, and maintaining high‑performance Rust services that handle model inference, orchestration, and execution for millions of users.

Key responsibilities

• Design and develop the infrastructure layer for AI agent systems in production.
• Build high‑performance Rust services for model inference, orchestration, and execution.
• Architect scalable systems supporting high request throughput and low latency.
• Implement reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring.
• Define guardrails, observability, and failure‑handling mechanisms for agent‑driven workflows.
• Collaborate closely with the Agent Systems team to harden experimental prototypes into production‑ready services.

Required profile

• 5+ years of experience building and operating high‑scale production systems.
• Strong proficiency in Rust and systems‑level programming.
• Deep understanding of distributed systems, reliability engineering, and performance optimization.
• Experience operating services serving millions of users or high‑throughput workloads.
• Familiarity with ML infrastructure, model serving, or MLOps in production.

Required skills

• Rust
• Distributed systems
• Observability and monitoring
• Failure recovery design
• ML infrastructure / MLOps
• Container orchestration and cloud‑native infrastructure