AI Application Engineer

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🕒 March 20

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SumerSports

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

⚽ Sports

🤖 Artificial Intelligence

☁️ SaaS

Sports • Artificial Intelligence • SaaS

SumerSports is an AI-powered sports analytics and technology company focused on football (NFL and NCAA). Combining over 500 years of NFL experience with machine learning, SumerSports offers products such as SūmerBrain for film retrieval and multi-layered data, SūmerLive for game tracking, SūmerNFL and SūmerNCAA for roster building and team optimization, and a player-verified metrics and talent exposure platform. The company produces draft guides, analytics-driven content with former scouts and Hall of Famers, and tools that serve players, teams, and fans to improve scouting, roster decisions, and performance evaluation.

📋 Description

• Design and build AI-powered user features: Implement prompt-based and retrieval-augmented systems (RAG) that answer complex sports questions and generate insights. • Build agents and workflows that combine deterministic logic with LLM reasoning. • Prototype and iterate fast: Use prompting, tool orchestration, and retrieval design to rapidly build and refine AI behaviors. • Collaborate with Eval Engineers to build golden sets and automate quality checks before release. • Work closely with the LLMOps Platform team: Use shared eval frameworks, prompt registries, and model gateways. • Provide feedback loops to improve platform reliability, latency, and safety. • Integrate with deep learning and data systems: Combine structured stats, tracking data, and video-derived features into AI-powered applications. • Build APIs and UI layers that expose insights to coaches, teams, and partners. • Push the limits of applied AI: Explore how LLMs, retrieval, and deterministic logic can create novel sports analytics tools. • Use AI internally to accelerate development (code generation, testing, debugging).

🎯 Requirements

• 5+ years of experience as a Software Engineer, ML Engineer, or AI Developer • Proficiency in Python and TypeScript/JavaScript (Node.js or React) • Hands-on experience with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel, Haystack) • Strong understanding of prompt engineering, retrieval-augmented generation, and evaluation workflows • Ability to design robust backend systems integrating APIs, vector databases, and orchestration layers • Curiosity and creativity to turn ambiguous problems into structured, production-quality systems.

🏖️ Benefits

• Competitive Salary and Bonus Plan • Comprehensive health insurance plan • Retirement savings plan (401k) with company match • Remote working environment • A flexible, unlimited time off policy • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl