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Senior AI Systems Engineer

Role overview

Qualifications

  • 5+ years of experience developing software with Python
  • Strong experience integrating REST APIs and LLM providers such as OpenAI, Anthropic, or similar
  • 5+ years of experience in Data Analysis
  • Strong SQL skills

Responsibilities

  • Design, develop, and optimize AI-powered systems using Large Language Models (LLMs)
  • Integrate AI APIs and external services to build scalable content generation workflows
  • Develop validation frameworks, quality controls, and evaluation systems for AI-generated content
  • Collaborate closely with Product, Engineering, Design, and Curriculum teams to deliver new features and improvements

About the company

Rehire logo

Rehire

Staffing & Recruiting

At Rehire, we understand the unique challenges faced by companies in their search for skilled professionals. With a deep understanding of both the USA and Argentinian job markets, we specialize in identifying and matching top-tier talent with the specific needs and requirements of companies operating in the United States. Rehire is a dynamic human resources company based in Argentina, dedicated to bridging the gap between USA companies and talented Argentinian workers. Our mission is to facilitate seamless connections and foster mutually beneficial relationships that drive success and growth.

Company details

IndustryStaffing & Recruiting
Company size2 - 10

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Job description

At Rehire, we are partnering with an innovative SportsTech & EdTech company to find a Senior AI Systems Engineer who will play a key role in designing, optimizing, and scaling AI-powered systems that transform sports data into engaging educational experiences.

We're looking for a highly technical professional with strong experience building AI-driven applications, integrating Large Language Models (LLMs), processing structured data, and developing scalable, reliable systems with a strong focus on quality, automation, and continuous improvement.

Responsibilities:

· Design, develop, and optimize AI-powered systems using Large Language Models (LLMs).

· Integrate AI APIs and external services to build scalable content generation workflows.

· Develop validation frameworks, quality controls, and evaluation systems for AI-generated content.

· Design automated testing and benchmarking processes to continuously improve AI performance.

· Manage and integrate structured sports data from multiple sources and APIs.

· Transform sports events and statistics into engaging educational experiences powered by AI.

· Collaborate closely with Product, Engineering, Design, and Curriculum teams to deliver new features and improvements.

· Optimize AI pipelines, workflows, and system architecture for scalability and reliability.

· Maintain technical documentation and actively participate in Agile/Kanban workflows.

· Support QA processes, troubleshooting, and continuous improvement initiatives across AI-powered products.

Requirements:

· 5+ years of experience developing software with Python.

· Strong experience integrating REST APIs and LLM providers such as OpenAI, Anthropic, or similar.

· 5+ years of experience in Data Analysis.

· Strong SQL skills.

· 3+ years of hands-on experience designing, building, and maintaining AI/LLM-based systems.

· Experience designing scalable AI architectures and production-ready workflows.

· Near-native or fluent English communication skills (written and verbal).

· Ability to review, edit, and validate AI-generated content in English.

· Experience working in Agile development environments.

· Fluent written and spoken English (Required).

About the Position:

· Work Model: 100% Remote.

· Working Hours: Monday to Friday, 9:00 AM to 1:00 PM (PST Time).

· Contract Type: Part-time position.

· Opportunity to work on cutting-edge AI, Sports Analytics, and Education products.

· Collaborative international environment with high-impact technical challenges.

If you meet the requirements and are interested in joining a growing creative team, apply at www.rehire.ar/jobs and submit your resume.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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