AI Engineer

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🕒 Abril 10

🏄 California, New York – Remoto

🏄 California – Remote 🗽 New York – Remote

💵 $130.000 - $160.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

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Wasserman

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2002

⚽ Esportes

Sports • Entertainment • Marketing

A Wasserman é uma empresa global que opera na interseção de esportes, música, entretenimento e cultura. Ela representa talentos, gerencia marcas e supervisiona propriedades em escala internacional, com sede em Los Angeles e localizações em 28 países, incluindo grandes cidades como Nova York, Londres e Sydney. A Wasserman está envolvida em vários setores, como representação esportiva e de mídia, parcerias com artistas musicais, marketing, eventos ao vivo e vendas de propriedades, tornando-se um player importante na indústria do entretenimento.

Descrição

• Design and build AI systems that can reason, retrieve information, and take action across enterprise tools and data sources • Translate business use cases into structured workflows, defining task decomposition, tool usage, and input/output schemas • Evaluate and prioritize AI use cases based on feasibility, data readiness, and business impact • Define MVP scope and sequence development of AI systems based on prioritized use cases • Develop and optimize LLM-powered systems, including prompt architectures, structured outputs, and multi-step reasoning workflows • Build and scale retrieval pipelines (RAG) across structured and unstructured data (chunking, embeddings, ranking, hybrid search) • Define how AI systems and workflows are orchestrated and structured, enabling reusable and composable capabilities as the platform evolves • Build reusable AI services and APIs that power internal applications and automation • Turn early prototypes into reliable, production-grade systems used by internal teams • Evaluate and improve system performance across accuracy, latency, cost, and reliability in production environments

🎯 Requisitos

• 3–6 years of experience in software engineering or applied AI, with a strong foundation in building production systems • Strong proficiency in Python and experience building backend services and APIs • Hands-on experience developing and deploying LLM-powered applications in production environments • Experience implementing RAG pipelines, including document ingestion, chunking strategies, embedding workflows, and retrieval optimization • Experience designing prompt architectures and structured outputs (e.g., JSON schemas, tool/function calling) • Familiarity with building multi-step workflows or agent-like systems (not just single prompts or chat interfaces) • Ability to take ambiguous business problems and translate them into structured AI workflows and systems • Experience working with real-world data constraints (messy data, incomplete context, edge cases) • Strong understanding of tradeoffs between accuracy, latency, and cost in LLM systems • Demonstrated ability to ship quickly, iterate, and improve systems based on usage

🏖️ Benefícios

• Bonus potential if applicable for role