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AI Infrastructure Platform Engineer (Python)

Bayside SolutionsUnited States🇺🇸United States

Why this role stands out

Leverage your Python expertise to build the scalable backend infrastructure powering next-generation AI at Bayside Solutions, with a competitive hourly rate of $55-$65 and the flexibility of a remote role. This opportunity is perfect for mid-senior engineers who thrive on architecting robust, high-concurrency systems and driving innovation in a dynamic tech environment. Apply now to contribute to groundbreaking AI platforms and advance your career.

Quick overview

Salary$55 - $65/hr
SeniorityMid Senior
Work modeRemote
LocationUnited States
MicroservicesAWSKafkaPythonRedisKubernetesPrompt Engineering

Job description


AI Infrastructure Platform Engineer (Python)


W2 Contract


Pay Rate: $55 - $65 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

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