Staff Software Engineer, Applied AI

🕒 Agosto 18

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $220.000 - $250.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 24%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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PrizePicks

201 - 500 funcionários

🎮 Jogos

⚽ Esportes

Gaming • Sports

PrizePicks é uma plataforma inovadora que oferece uma maneira dinâmica e interativa de participar de esportes diários de fantasia e esports. Os usuários podem fazer previsões sobre desempenhos de jogadores em vários esportes, incluindo NFL, NBA, MLB, CFB e muitos outros, com a oportunidade de ganhar até 1000 vezes o valor de sua inscrição. PrizePicks opera legalmente em 43 estados dos EUA, Washington D. C. e Canadá, fornecendo uma ampla gama de opções de apostas, incluindo Pick 'Em e Pick 'Em Arena, onde os usuários competem entre si por recompensas em dinheiro. A empresa enfatiza o engajamento dos usuários com recursos como promoções recorrentes e o jogo Streak, que é gratuito e permite que os participantes ganhem ao construir sequências de vitórias diárias. PrizePicks garante transações seguras e pagamentos rápidos, aprimorando a experiência e satisfação do usuário no mundo das apostas esportivas com dinheiro real.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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