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Senior AI Python Engineer

Matlen Silver

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  • Date Posted:

    8/22/2025

  • Remote Work Level:

    Hybrid Remote

  • Location:

    Hybrid Remote in Alpharetta, GA

  • Job Type:

    Temporary

  • Job Schedule:

    Full-Time

  • Career Level:

    Experienced

  • Travel Required:

    No specification

  • Education Level:

    We're sorry, the employer did not include education information for this job.

  • Salary:

    $70 - $80 Hourly

  • Categories:

    System Administrator,  Software Engineer,  Python,  QA

About the Role

Title: Senior AI Python Engineer (W2 ONLY, NO C2C)

Job Description:

Location: Georgia, Georgia

Remote Work: No

Environment: Hybrid (2 days onsite)

Duration: 6+ month contract (possible FTE)

Pay: $70-$80/hour W2 ONLY NO C2C

Due to client requirements, US Citizens or GC Holders ONLY

Details

We are seeking a highly skilled Engineer to design, develop, and deploy scalable software and AI infrastructure solutions. In this role, you will work closely with a collaborative team of developers, AI specialists, and engineers to build high-performance applications, optimize distributed systems, and support large-scale AI services. The ideal candidate has deep expertise in Python and/or Java, strong cloud infrastructure knowledge, and proven experience delivering robust, production-ready solutions.

MINIMUM REQUIREMENTS

  • 9+ years of hands-on programming experience, highly skilled in Python and proficient in Java, Kotlin, or Golang for optimization, profiling, and scalable application development.
  • Strong expertise with Cloud Platforms (AWS preferred; Azure/GCP also valuable) including serverless architectures, distributed systems, and cloud-native services.
  • Proven experience in designing, building, and deploying distributed and parallel computing applications with a focus on scalability and high performance.
  • Proficiency with testing frameworks (Unit, Integration, Component) and methodologies such as TDD/BDD for ensuring quality and reliability of code.
  • Strong knowledge of containerization and orchestration using Docker, AWS ECS/EKS, or Kubernetes.
  • Solid foundation in software architecture and design patterns, with ability to write clean, efficient, and maintainable code for AI-driven infrastructure and applications.
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