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

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