Design and build AI-powered features leveraging LLMs and retrieval systems. Integrate data systems and create applications for sports analytics. Collaborate with cross-functional teams for high-quality product development.
SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
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.
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. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
As an AI App Engineer, you’ll be the hands-on builder behind the intelligent products that make Sumer Sports unique. You’ll own the end-to-end development of LLM-based applications — from prompt and retrieval design to evaluation, orchestration, and user interface integration.
You’ll work within a cross-functional product pod (with PMs, designers, and Eval Engineers) and partner closely with the LLMOps Platform team and Sports Data teams to ship high-quality, domain-aware, and trustworthy AI experiences.
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.
- 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).
Qualifications:
- 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.
Nice to Have:
- Familiarity with vector databases (Pinecone, Weaviate, Qdrant) and observability tools (Langfuse, Arize Phoenix, Promptfoo).
- Experience building multi-agent workflows or LLM tool-use systems.
- 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.
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
Similar Jobs
Artificial Intelligence • Fintech • Software • Financial Services
Design, build and ship native Android features for an AI-enabled neobank using Kotlin. Improve UX, performance, reliability and integrate backend APIs. Collaborate with product and design to simplify user journeys and use analytics and production data to iterate on mobile experiences.
Top Skills:
Android SdkCoroutinesFlowJetpackJetpack ComposeKotlinNoSQLRest ApisSQLTensorflow Lite
Artificial Intelligence • Cloud • Information Technology • Machine Learning
Design and build secure, cloud-native AI applications using LLMs, RAG, and Amazon Bedrock to provide AI-assisted search, summarization, and clinical question-answering; integrate with enterprise healthcare systems using FHIR/HL7, implement vector search and prompt orchestration, ensure Fed security/privacy compliance and CI/CD, and support testing, monitoring, and governance for production readiness.
Top Skills:
Amazon BedrockAws (Aws Cloud Services)C#CcdCi/CdDevsecopsEmbeddingsFhirGitHl7Icd-10JavaJSONLarge Language ModelsLoincPythonRest ApisRetrieval-Augmented Generation (Rag)RxnormSemantic SearchSnomed CtVector Databases
Healthtech • Software
Design, build, and deliver AI-driven Salesforce Agentforce agents and intelligent automations. Develop integrations, test automations, debug Apex/JavaScript/Python code, produce technical documentation, mentor junior engineers, participate in DevOps and QA, and support transformational projects and high-priority incidents.
Top Skills:
AdobeAgentforceAlteryxAngularApexAutorabitAWSAzureCongaCopadoCopado CrtDocusignGainsightGitGongJavaScriptKantataMarketoMicrosoft Studio For Copilot AgentsOauthOpenid ConnectPmdPower AutomatePythonQualtricsReactRevenue CloudSalesforceSalesforce EinsteinSalesforce Lightning Design SystemSalesforce Sales CloudSAMLSeleniumService CloudSoaTaskrayVueWorkday
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
