Staff Software Engineer, Applied AI

🕒 August 18

🇺🇸 United States – Remote

💵 $220k - $250k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 23%

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Logo of PrizePicks

PrizePicks

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, structured extraction, and production inference workflows • Embed AI into software development workflows such as code review assistance, test generation, incident support, and developer copilots • Determine what to delegate to agents versus retain as human work, and scope tasks for agent success • Diagnose agent behavior from traces, inputs, intermediate steps, and failure points • Verify AI outputs, including tests generated by agents • 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 promote adoption • Establish engineering best practices for reliability, evaluation, incident response, privacy/security, and AI development • Coach engineers through design reviews, pairing, and technical leadership • Build example initiatives such as agent orchestration, RAG services, AI-in-SDLC rollouts, evaluation harnesses, and organization-level AI adoption diagnostics

🎯 Requirements

• 6+ years of professional software engineering experience (or equivalent), including shipping production systems • Direct experience on an Applied AI / product AI team building LLM- or ML-powered features (agents/tooling strongly preferred) • Demonstrated judgment in agent-driven development, including knowing what to delegate, how to scope/context an agent, and how to verify its output • Strong backend/system design skills: APIs, distributed systems, queues/workflows, observability, and performance • Comfort navigating ambiguity and driving outcomes with cross-functional partners • Track record of mentoring peers and leveling up engineering quality • Experience building platform capabilities for other engineers, such as SDKs, internal frameworks, or developer tooling • Practical experience with embeddings, search/retrieval, evaluation methodologies, and model monitoring • Experience building AI-powered tooling/products like agents and assistants at scale • Familiarity with inference constraints, vendor/model tradeoffs, and deployment patterns • Must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable

🏖️ 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

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