Senior Software Engineer – AI Infrastructure

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Description

Accountabilities - AI Infrastructure Development and Architecture Design, develop, and maintain the infrastructure layer that powers AI agent systems in production environments. - Build high-performance backend services using Rust to support model inference, agent orchestration, and execution workflows. - Architect scalable distributed systems capable of handling high request volumes and supporting millions of users. - Establish foundational infrastructure components and reusable system primitives that enable AI agents to interact reliably with internal services. - Contribute to critical architecture decisions, balancing performance, reliability, scalability, and operational cost. - Machine Learning Infrastructure and MLOps Develop and maintain reliable infrastructure for model serving, deployment, evaluation, and production monitoring. - Implement operational patterns that support consistent model delivery, performance evaluation, and continuous improvement. - Collaborate with AI and applied engineering teams to move experimental prototypes into robust, production-ready systems. - Optimize model inference and orchestration workflows to improve latency, throughput, resource utilization, and cost efficiency. - Support the integration of AI capabilities into production systems while maintaining predictable and reliable execution. - Reliability, Observability, and Performance Design and implement monitoring, logging, tracing, and observability mechanisms to provide visibility in

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