Bayside Solutions

AI Infrastructure-Platform SWE (Python)

in Austin, Texas

New Job

Job Description Job Attributes+

  • Req ID

    25313_1777591343

  • Job Category

    IT

  • Job Type

    Contract

  • Hourly Salary

    From $0 to $0

  • Job Location

    Austin, Texas
    United States

Overview

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.

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