AI Software Engineer

Vaga não está no LinkedIn

🕒 Julho 27

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 26%

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.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

UpSmith

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2022

🤖 Inteligência Artificial

☁️ SaaS

💰 $5.000.000 Seed Round - UpSmith em 2024-01

Artificial Intelligence • SaaS

A UpSmith é uma empresa de software orientada por IA que oferece um 'motor de lucro de IA' personalizado para empresas de serviços residenciais e profissões técnicas (HVAC, encanamento, elétrica, telhados, etc. ). Ele se integra ao ServiceTitan para escanear continuamente bancos de dados de clientes, envolver os clientes via SMS bidirecional e agentes de IA para confirmar compromissos, fechar estimativas, renovar assinaturas, agendar manutenções e identificar oportunidades de substituição - tudo com o objetivo de reduzir cancelamentos, reativar clientes inativos e recuperar receita em escala. A plataforma automatiza fluxos de trabalho de experiência do cliente, retenção e crescimento, funcionando em segundo plano e oferecendo receita recuperada, reservas e renovações mensuráveis para os operadores.

Descrição

• - Own core platform systems as we scale. • - Shape technical direction and make architectural decisions. • - Ship end-to-end solutions with direct, measurable business impact. • - Collaborate with the engineering team as well as the ops team that manages client relationships.

🎯 Requisitos

• **The Kind of Work You'll Do** • - Decision systems. Building the logic that determines which customers to contact, when, and why - and making that logic configurable, auditable, and increasingly intelligent over time. • - Data infrastructure. Making our data trustworthy, queryable, and actionable - the analytics foundation that powers targeting, reporting, and client-facing products. • - Supply and demand. Connecting real-time technician availability to outreach decisions, agent conversations, and client reporting so the platform responds to what's actually happening on the ground. • - Client-facing visibility. Our clients need to see what's happening with their campaigns without emailing us. That means dashboards, attribution, full-funnel tracking, and alerting - built on the analytics layer and designed for people who aren't technical. • - System evolution. We have production systems serving real clients that need to be replaced incrementally. You'll design migration strategies, run parallel validation, and cut over without disrupting active campaigns. • **What We're Looking For** • - You drive impact. You work to find the next thing big thing that will bring value to the team and company. You influence the team and company in an honest and positive way. You build up and support your teammates. • - You've built systems that make decisions at scale. Whether that's ad targeting, recommendation engines, marketplace matching, or campaign orchestration - you've designed pipelines where the system decides who gets what, and you've dealt with the operational complexity that comes with it. • - You think in data models. You know how to design schemas that absorb business complexity without becoming unmaintainable. You're comfortable with the tradeoffs between normalized relational models, EAV patterns, and JSONB escape hatches - and you know when each is appropriate. • - You're pragmatic about shipping. You design for incremental delivery, not big-bang rewrites. You've migrated production systems while they were running and know what it takes to do that safely. • - You close the loop. You don't just build the pipeline - you think about how to measure whether it's working, how to surface failures before clients notice, and how to use outcome data to improve the system over time. • - You write clearly. Engineers at UpSmith write design docs that the team can build from. You'll spend meaningful time articulating your approach before you start coding.

🏖️ Benefícios

• - Early-stage equity in a company with strong revenue growth and a clear path to scale • - High ownership - you'll shape technical direction, not implement someone else's spec • - A small team where your work has visible, measurable impact on client outcomes • - Remote-first with flexibility to work where you're most productive