AI Infrastructure-Platform SWE (Python)

AI Infrastructure-Platform SWE (Python) W2 Contract Pay Rate: $50 - $60 per hour Location: Austin, TX - Remote Role Job Summary: We are building the foundational platform that powers next-generation AI agents and intelligent systems at scale. This is not a model research or prompt engineering role. The focus is on designing and building highly scalable, reliable backend systems that enable agent-driven applications to operate in production environments. Duties and Responsibilities: • Design and build scalable backend services in Python for AI and agent platforms • Architect systems that handle high concurrency, large volumes of data, and low-latency requirements • Build and operate microservices deployed on Kubernetes • Design systems with reliability, fault tolerance, and observability as core principles • Plan for horizontal scalability to support rapid growth and increasing usage • Work on asynchronous processing, distributed workflows, and event-driven architectures • Collaborate with cross-functional teams to define platform capabilities that support AI use cases • Continuously improve system performance, reliability, and cost efficiency Requirements and Qualifications: • Strong proficiency in Python with experience building production-grade systems • Solid understanding of data structures, algorithms, and core computer science fundamentals • Experience designing and building distributed systems at scale • Hands-on experience with concurrency, multithreading, or asynchronous programming • Experience with microservices architecture and API design • Practical experience with Kubernetes and containerized deployments • Ability to design systems that account for failure scenarios, scaling challenges, and performance trade-offs Preferred Qualifications: • Experience with AWS or similar cloud platforms • Familiarity with event-driven systems such as Kafka or pub/sub architectures • Experience with caching strategies such as Redis • Exposure to observability tools for logging, monitoring, and tracing • Some familiarity with AI or ML systems, LLMs, or agent-based architectures Desired Skills and Experience Python, AI infrastructure, backend services, scalable backend systems, production-grade systems, distributed systems, high-concurrency systems, low-latency systems, large-scale data systems, microservices, API design, Kubernetes, containerized deployments, cloud platforms, AWS, asynchronous programming, multithreading, concurrency, event-driven architecture, distributed workflows, Kafka, pub/sub architecture, Redis, caching strategies, observability, logging, monitoring, tracing, reliability engineering, fault tolerance, horizontal scalability, performance optimization, cost efficiency, data structures, algorithms, computer science fundamentals, AI platforms, agent platforms, AI agents, LLM systems, ML systems, agent-based architectures Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at www.baysidesolutions.com.