SumerSports
AI Application Engineer
Remote (United States)
Sponsorship not specifiedDetected 267 days ago
JavaScriptTypeScriptPythonReactNode.jsVector DatabasesAWSGCPMachine LearningDeep LearningLLMsRAGLLMOps
About the role
- SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs.
- What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience.
- As an AI App Engineer, you'll be the hands-on builder behind the intelligent products that make Sumer Sports unique.
Responsibilities
- 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.
- 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.
- Design and build
- Implement prompt-based and retrieval-augmented systems (RAG) that answer complex sports questions and generate insights.
- Use prompting, tool orchestration, and retrieval design to rapidly build and refine AI behaviors.
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.
Nice to have
- Familiarity with vector databases (Pinecone, Weaviate, Qdrant) and observability tools (Langfuse, Arize Phoenix, Promptfoo).
- Understanding of sports data - especially football (tracking data, player metrics, game logs).
- Experience deploying on Vercel, AWS, or GCP with modern CI/CD.
- Comfortable working in a pod-based, cross-functional environment with designers, PMs, and AI researchers.
Skills
- Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints.
- The platform also serves the NCAA, offering insights around the transfer portal and more.
- Use shared eval frameworks, prompt registries, and model gateways.
- Provide feedback loops to improve platform reliability, latency, and safety.
- Use AI internally to accelerate development (code generation, testing, debugging).
Benefits
- Integrate with deep learning and data systems: Combine structured stats, tracking data, and video-derived features into AI-powered applications.
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This listing is sourced directly from SumerSports's careers page and normalized into a canonical job model.