Senior Software Engineer, Applied AI

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PrizePicks

WebsiteLinkedInAll Job Openings

201 - 500 employees

🎮 Gaming

⚽ Sports

Gaming • Sports

PrizePicks is an innovative platform that offers a dynamic and interactive way to engage in daily fantasy sports and esports. Users can make predictions on player performances across various sports, including NFL, NBA, MLB, CFB, and more, with the opportunity to win up to 1000x their entry fee. PrizePicks operates legally in 43 U. S. states, Washington D. C. , and Canada, providing a wide range of betting options, including Pick 'Em and Pick 'Em Arena, where users compete against each other for cash rewards. The company emphasizes user engagement with features such as recurring promos and the Streak game, which is free to play and allows participants to earn by building daily win streaks. PrizePicks ensures secure transactions and fast payouts, enhancing user experience and satisfaction in the sphere of real money sports betting.

📋 Description

• Build the agent platform and tooling, including orchestration, tool/function calling, evaluation harnesses, prompt/version management, tracing/observability, and safety/guardrails • Support retrieval-augmented generation (RAG), structured extraction, and production inference workflows • Work with application engineering teams to embed AI into software development workflows such as code review assistance, test generation, incident support, and developer copilots • Decide what to delegate to agents versus retain as human work, scope agent tasks, and adapt the boundary as tooling maturity changes • Diagnose agent behavior from traces, intermediate steps, inputs, and failure points • Verify AI-generated output and tests before trusting or deploying them • Own applied AI projects from prototype through production, including data needs, system design, model/vendor selection, rollout, monitoring, and iteration • Partner with product, design, and data/ML stakeholders to deliver customer-facing outcomes • Assess AI adoption across teams, identify bottlenecks and failure modes, build missing capabilities, teach existing tools, and advocate for adoption • Establish engineering practices for reliability, evaluation, incident response, privacy/security, and AI development • Coach engineers through design reviews, pairing, and pragmatic technical leadership • Mentor peers and improve organization-wide engineering quality

🎯 Requirements

• 6+ years of professional software engineering experience, including shipping production systems • Direct experience on an Applied AI or product AI team building LLM- or ML-powered features • Demonstrated judgment in agent-driven development, including task delegation, agent scoping/context, and output verification • Strong backend and system design skills • Experience with APIs, distributed systems, queues/workflows, observability, and performance • Ability to navigate ambiguity and drive outcomes with product, design, data/ML, and platform partners • Track record of mentoring peers and improving engineering quality • Authorization to work for any employer in the U.S.; employment visa sponsorship is unavailable • Experience with platform capabilities for engineers, embeddings, search/retrieval, evaluation methodologies, model monitoring, AI agents/assistants at scale, inference constraints, vendor/model tradeoffs, and deployment patterns are nice to have

🏖️ Benefits

• Company-subsidized medical, dental, & vision plans • 401(k) plan with company match • Annual bonus • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) • Generous paid leave programs, including 16-week paid parental leave and disability benefits • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked • Company-wide in-person events and team outings • Lifestyle enhancement program • Company equipment provided (Windows & Mac options) • Annual performance reviews with opportunities for growth and career development