Senior AI Engineer

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About Us

We are a tech company specializing in fan engagement solutions for sports leagues, teams, and iGaming operators. With a strong suite of fantasy games, prediction markets, and interactive platforms, we’ve built engaging digital experiences for millions of sports fans. We are now building the AI layer into our offerings — and we’re looking for the right person to lead this frontier.

Role Overview

senior AI leader

This is a high-impact, hands-on leadership role with the mandate to build and scale our AI capabilities from the ground up.

Key Responsibilities

• Define and lead the AI roadmap, starting with Retrieval-Augmented Generation (RAG) systems for internal tools and user-facing features.
• Build proof-of-concepts and MVPs that demonstrate the value of AI in fan engagement, fantasy gaming, and prediction systems.
• Work with structured and unstructured data (game stats, user behavior, content) to train and deploy intelligent agents and recommendation systems.
• Collaborate closely with product managers, data engineers, and front-end/backend developers to integrate AI solutions into live products.
• Evaluate and implement open-source and commercial LLMs, vector databases, and toolchains for optimal performance and cost.
• Hire and mentor a small team of AI/ML engineers as the department scales.

What We’re Looking For

• Proven track record of delivering AI/ML features in production environments (not just research).
• Deep hands-on experience with RAG pipelines, including vector databases (Pinecone, Weaviate, FAISS), chunking strategies, embedding models, and prompt engineering.
• Strong understanding of transformer-based LLMs and fine-tuning approaches.
• Comfortable working with APIs, backend systems, and integrating AI into real-world software products.
• Bonus: experience in personalization, recommendation systems, or content generation in the sports, media, or gaming domain.

Why Join Us

• Opportunity to build the AI foundation of a sports focused, product-development company.
• Freedom to experiment and deploy cutting-edge AI in consumer-facing applications with high engagement.
• Work on unique sports-related problems that combine data, content, and user behavior in creative ways.