About the Role
We are seeking a Senior AI Systems Engineer to design, improve, and scale the next generation of our AI-powered question-generation architecture.
This role is not focused on training large language models from scratch. Instead, the focus is on building reliable AI-driven systems that combine sports data, educational content, validation logic, quality controls, and measurable improvement processes to generate high-quality learning experiences at scale. Specifically, a key aspect of this role involves transforming sports data and events into educational learning experiences, which is one of the most unique aspects of STEM Replay
The successful candidate will work closely with Product, Curriculum, Design, and Engineering to improve the reliability, consistency, scalability, and quality of STEM Replay's AI-driven content generation systems.
Success in this role requires a combination of AI systems engineering, sports data expertise, evaluation frameworks, product thinking, operational discipline, and strong ownership.
Key Responsibilities
- Managing and optimizing sports data intelligence.
- Developing and maintaining educational content frameworks.
- Implementing strict validation and safety guardrails.
- Overseeing comprehensive quality measurement.
- Creating and executing automated testing.
- Driving and refining continuous improvement processes.
- QA, Evaluation & Benchmarking: Explicitly owning the quality, evaluation, benchmarking, and continuous improvement framework of the AI generation system.
- Cross-Functional Collaboration.
- End-to-End Ownership: Taking clear, end-to-end ownership of your work, going beyond a general "startup mindset" to ensure successful delivery.
- Workflow & Documentation: Operating within Agile/Kanban workflows and maintaining lightweight documentation and visibility as part of the normal delivery process.
Key Requirements
- C1 English proficiency.
- +5 years of experience working with Python and REST APIs, with specific expertise in integrating AI/LLM APIs (e.g., OpenAI, Anthropic) and structured data processing.
- +5 years of experience in Data Analysis, with a strong preference for SQL.
- +3 years of hands-on experience designing, building, and maintaining AI Systems (specifically AI/LLM).
- +2 years of specialized experience in Sports Data & Analytics.
Desired Skills
- Technical Skills: Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex), familiarity with vector databases, and knowledge of cloud environments (AWS, GCP, or Azure).
- Soft Skills: Strong analytical problem-solving abilities, independent time-management skills, clear cross-functional communication, and a genuine passion for the sports technology industry.
Working Conditions
- Ecosystem: 100% Remote position
- Job schedule: Monday to Friday from 09:00 to 13:00 PST
Benefits
- Monthly salary: $17,000 MXN
- Health Insurance
- Christmas bonus (Aguinaldo)
- Mental health support
- Up to 3 days of sick leave with full pay
- Vacation bonus equivalent to 25% of the corresponding vacation days
- Professional Growth & Upskilling Opportunity
Why Join Us?
Join a forward-thinking team operating at the cutting edge of artificial intelligence and sports analytics. We offer a dynamic, focused environment where your expertise in LLMs and data intelligence will directly impact our core products. Enjoy a consistent part-time schedule that offers great work-life balance while allowing you to tackle complex, high-impact technical challenges in the exciting world of sports data.
Job Type: Part-time
Pay: $17,000.00 per month
Experience:
- Python and REST APIs: 5 years (Required)
- Data Analysis: 5 years (Required)
- designing, building, and maintaining AI Systems : 3 years (Required)
- Sports Data & Analytic: 2 years (Required)
Language:
Work Location: Remote
