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.

AI Systems Engineer - Part-Time

Emma

Requirements and responsibilities

Skills wanted:

Language(s) required:

Miguel Ángel Sierra Ruiz

Miguel Ángel Sierra Ruiz

About Bloom Digitals:

mission:

www.bloomdigitals.com/

Admin access needed