
51 - 200 funcionários
Fundada em 2011
🛍️ Comércio Eletrônico
🤖 Inteligência Artificial
☁️ SaaS
💰 $80.000.000 Series C em 2022-04
eCommerce • Artificial Intelligence • SaaS
A Stylitics é uma empresa de SaaS de comércio eletrônico com tecnologia de IA que fornece soluções de comércio inspiracional para varejistas. Sua plataforma oferece estilização com IA, agrupamento/combinação automatizada de produtos, enriquecimento de catálogo, imagens geradas por IA em modelos, compras visuais (visão computacional) e recomendações de produtos personalizadas para impulsionar o valor médio do pedido, a conversão e a fidelidade. A Stylitics atende grandes varejistas, permitindo que as equipes de merchandising e comércio eletrônico criem experiências de compra curadas e disponíveis em páginas de detalhes de produtos e canais.
🕒 Maio 22
🗽 New York – Remoto
💵 $120.000 - $150.000 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🧑💻 Engenheiro Full-stack
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2011
🛍️ Comércio Eletrônico
🤖 Inteligência Artificial
☁️ SaaS
💰 $80.000.000 Series C em 2022-04
eCommerce • Artificial Intelligence • SaaS
A Stylitics é uma empresa de SaaS de comércio eletrônico com tecnologia de IA que fornece soluções de comércio inspiracional para varejistas. Sua plataforma oferece estilização com IA, agrupamento/combinação automatizada de produtos, enriquecimento de catálogo, imagens geradas por IA em modelos, compras visuais (visão computacional) e recomendações de produtos personalizadas para impulsionar o valor médio do pedido, a conversão e a fidelidade. A Stylitics atende grandes varejistas, permitindo que as equipes de merchandising e comércio eletrônico criem experiências de compra curadas e disponíveis em páginas de detalhes de produtos e canais.
• Write production-level code in TypeScript (with AI tools) • Build full-stack prototypes, including front-end interfaces that demonstrate capability to stakeholders and clients • Prompt engineering and testing with LLMs, including Claude, Gemini, and OpenAI models • Context engineering to determine the right data to surface to LLMs and agents • Agentic workflow design • Help us build systems to easily monitor and test LLM performance • Analyze large data sets • Design and implement solutions for scale and maintainability across multiple clients • Contribute as a thought leader to conversations around LLM usage, including challenging or proposing technical directions and identifying what to worry about (and what not to) early in a project
• Bachelor's Degree from an accredited college or university in Computer Science, Data Science, Statistics, or other related fields, or equivalent experience • 4+ years of software development experience, ideally including some exposure to retail, e-commerce, or another applied AI/technology industry. • Experience building AI or LLM-powered products is a bonus • Confident communication (written and oral) skills and a demonstrated ability to work collaboratively with all levels of internal and external organizations. • Strong asynchronous written communication is essential, Labs works across time zones and with small, distributed teams • Strong problem-solving, attention to detail, organizational, and time management skills along with demonstrated strategic thinking abilities • Working experience with modern prototyping stacks, specifically React, TypeScript, and SQL, sufficient to stand up a working UI backed by a real data model • Hands-on experience with LLMs and prompt engineering, including work with at least one of Claude, Gemini, or OpenAI APIs • Demonstrated affinity for and experience with agentic software engineering — either on the job or on your own time. We expect you to be enthusiastic about using AI coding tools in your day-to-day work • Foundational understanding of system design, scalability principles, use of APIs, and open-source packages • Familiarity with evaluating model performance using structured test cases and metrics • Ability to operate with ambiguity in product definition, with support from senior engineers as needed • Judgment to know when to trust an LLM's output and when to challenge it , a foundation of actual engineering knowledge and experience, not just the ability to look things up
• We care deeply about delivering high quality work • We work to be the best partners possible • We get things done • We believe the right team matters most • We think like customers and act like owners • We relish being pioneers
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