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Staff Forward Deployed Engineer

🕒 Setembro 29

🏈 Alabama, California, +19 estados a mais – Remoto

infoinfo

💵 $168.912 - $253.368 / ano

⏰ Tempo Integral

🔴 Especialista

👷🏻‍♀️ Engenheiro

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Afresh, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Setembro 29

Ainda aberta no site da Afresh. Verificada 9 horas atrás.

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Afresh

51 - 200 funcionários

Fundada em 2017

🍽️ Alimentos e Bebidas

📦 Logística

💼 Consultoria

Food & Beverage • Logistics • Consulting

Afresh é uma empresa de tecnologia que oferece soluções inovadoras para o setor de supermercados de alimentos frescos. Sua plataforma utiliza aprendizado de máquina de ponta para otimizar pedidos, gerenciamento de estoque e reduzir o desperdício de alimentos, ajudando as equipes de supermercados a gerenciar produtos frescos de forma mais eficiente. Afresh busca transformar as operações dos supermercados com tecnologia de ponta, garantindo exibições mais frescas, giros de estoque mais rápidos e aumento nas vendas. Ao aprimorar a eficiência operacional e a precisão, a Afresh apoia os supermercados em metas de sustentabilidade, como redução de emissões de gases de efeito estufa e uso de água. A empresa está comprometida em nutrir o mundo de forma sustentável com alimentos frescos.

Descrição

• Partner with Afresh's account lead and customer technical teams to scope and architect data sources, architecture, and production delivery paths • Embed with customer data and engineering teams remotely and on-site • Integrate into customer cloud and data platforms • Build production-grade pipelines and model messy enterprise data into trustworthy data products • Design and ship production-ready LLM- and agent-powered systems, including retrieval, agentic workflows, data-quality agents, and analytics agents • Harden field learnings into the shared platform's knowledge and grounding layer, agent frameworks, and serving infrastructure • Build evaluations, tracing, and tooling to measure accuracy, hallucination rate, latency, and cost • Create clean interfaces and reusable building blocks rather than one-off customer code • Own the feedback loop between customer deployments and platform improvements

🎯 Requisitos

• 5+ years building production software and data systems, with strong, production-grade code • Ability to take ambiguous problems and messy data landscapes, design clean and workable solutions, and build them • Production experience building real systems with LLMs and agents, including retrieval/RAG and tool-use • Ability to evaluate AI system quality • Data-engineering experience building and operating data pipelines and modeling messy enterprise data • Experience with a modern cloud data platform such as Databricks, BigQuery, Snowflake, or similar • Ability to work directly with customer engineers and data teams • Comfort switching between customer-facing work and reusable infrastructure development • Willingness to travel regularly to customer sites (~10-20%) • This position is not eligible for company sponsorship • Remote employees must reside in one of the following states: Alabama, Arkansas, California, Colorado, Florida, Georgia, Illinois, Kentucky, Massachusetts, Michigan, Montana, Missouri, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, Texas, Washington, Utah, Virginia, Wisconsin

🏖️ Benefícios

• Meaningful early-stage equity • Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh • Mental health support and counseling services • 401(k) program with a generous company match • Home office stipend • Coworking Wallets for flexible workspace access • Annual professional development budget • Monthly Betterment wellness/lifestyle stipend • Monthly telecommunications stipend • Flexible paid time off

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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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