Senior AI Engineer

🕒 4 dias atrás

🌐 Estados Unidos, Canadá – Remoto

🇺🇸 Estados Unidos – Remoto (EUA) 🇨🇦 Canadá – Remoto

🗽 New York – Remoto

🗽 New York – Remote

💵 $150.000 - $185.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 4%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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FutureFit AI

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

🤝 B2B

☁️ SaaS

💰 Seed Round em 2022-03

Artificial Intelligence • B2B • SaaS

A FutureFit AI faz parceria com empresas da Fortune 500, governos e organizações de desenvolvimento da força de trabalho para fornecer uma ferramenta impulsionada por inteligência artificial que atua como um GPS para ajudar trabalhadores a navegar em transições de carreira, apoiando-os desde a orientação profissional, passando pelo requalificação, até a inserção no mercado de trabalho.

Descrição

• Design, build, and ship LLM-based product experiences end to end • Develop conversational coaching and agentic workflows that complete multi-step tasks • Build tool-use and orchestration layers • Create coaching and career-pathway products grounded in observed career transitions and causal evidence about wages and lifetime earnings • Establish what labor-market and intervention data can and cannot support • Build evaluation harnesses, offline and online quality measurement, regression tracking, and human-in-the-loop review • Develop predictive, classification, and ranking models when appropriate • Prepare, label, govern, and maintain AI data pipelines and knowledge sources • Connect AI systems safely to internal tools, databases, SaaS products, case management systems, and enterprise workflows • Implement authentication, guardrails, and failure handling • Partner with Engineering, Product, and the VP of Data & AI • Help shape AI prompting, evaluation, agent permissions, and technical patterns • Provide technical leadership while building new products

🎯 Requisitos

• Roughly 5+ years of strong applied ML/AI engineering experience • Track record of shipping systems into real products used by real people • Production experience building and shipping LLM-based features • Experience with prompt engineering, agentic workflows, tool use, function calling, retrieval, and orchestration • Experience building evaluations, quality metrics, regression tracking, and human-in-the-loop review for LLM systems • Strong machine learning fundamentals and hands-on predictive or classification model experience • Fluency in Python and SQL • Experience with ingestion and transformation pipelines, labeling, knowledge sources, and data governance • Experience integrating APIs, databases, SaaS platforms, third-party data providers, and enterprise systems • Understanding of safety and guardrails in consequential domains • Ability to explain models, agent behavior, evaluation results, and tradeoffs to non-technical audiences • AWS and SageMaker experience is a bonus • Experience with jobs-and-skills, HR, labor market data, O*NET, or ESCO is a bonus • Case management, government systems, recommender systems, ranking, search, RAG, labor economics, program evaluation, publications, talks, blogs, or open-source experience is a bonus • Your Education section states that formal education is not the focus and does not require a credential

🏖️ Benefícios

• Remote work across the US and Canada • Hybrid office access for candidates in Toronto and New York City • Quarterly off-site and team gathering travel opportunities • Reasonable accommodation for disability during application, interviews, and employment • Equal opportunity and inclusive workplace • Human-reviewed, equitable AI-supported hiring process