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Senior Forward Deployed Engineer

🕒 Setembro 18

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

infoinfo

💵 $156.060 - $211.140 / ano

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ 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 18

Ainda aberta no site da Afresh. Verificada 1 hora 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 work, including data sources, architecture, and production path • 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 solutions into the shared platform, including knowledge graphs, ontologies, retrieval, 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 • Feed field learnings into the platform and apply platform improvements to future customers

🎯 Requisitos

• 3+ 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 • AI/LLM depth, including real systems with LLMs and agents, retrieval/RAG, and tool-use • Experience evaluating AI/LLM quality • Data-engineering depth, including 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 traveling to customer sites regularly (~10-20%) • This position is not eligible for company sponsorship • Experience in grocery, retail, or supply chain data domains (nice to have) • Knowledge graphs, ontologies, semantic layers, graph/vector stores, hybrid search, MCP, agent frameworks, MLOps, model serving, and LLM observability (nice to have) • Prior forward-deployed, solutions, or implementation engineering, or early-stage startup experience (nice to have)

🏖️ Benefícios

• Meaningful early-stage equity • Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh • Dedicated 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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