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AI Engineer

Vaga não está no LinkedIn

🕒 4 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $150.000 - $210.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

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

Vista pela primeira vez pelo Remote Rocketship 4 dias atrás

Ainda aberta no site da Cargomatic. Verificada 1 hora atrás.

Logo of Cargomatic

Cargomatic

51 - 200 funcionários

🚗 Transporte

📦 Logística

🏪 Marketplace

💰 Venture Round em 2022-06

Transport • Logistics • Marketplace

Cargomatic é uma empresa de logística que oferece soluções de frete sob demanda por meio de um marketplace com mais de 35. 000 motoristas. Eles se especializam em diversos serviços de envio, incluindo transporte de contêineres, intermodal, carga fracionada (LTL), carga completa (FTL) e entrega com serviço diferenciado, atendendo às diversas necessidades de embarcadores em várias indústrias. Com capacidades que abrangem os 20 principais portos nos Estados Unidos continentais, a Cargomatic foi projetada para simplificar processos de cadeia de suprimentos e aumentar a eficiência de envio para entregas locais e nacionais.

Descrição

• Build and ship automations and agentic workflows that call internal REST and GraphQL APIs to read data and take production actions • Deliver document automation using OCR, extraction, managed services, and LLM vision • Implement confidence thresholds, deterministic validation against TMS data, and routing of low-confidence results to human review • Determine and design the right approach for each workflow using LLMs, deterministic software, RPA, or purchased tools • Run build-versus-buy evaluations, POCs, and bake-offs covering total cost of ownership, integration effort, and operating burden • Implement build-or-buy decisions, including integrating and rolling out purchased solutions • Partner with the UiPath RPA team to augment or replace bots with AI and design clean AI/RPA handoffs • Coordinate with Engineering and Platform on required platform changes and deliver the automation work • Build evaluation infrastructure including labeled datasets, LLM-as-judge pipelines, regression testing, and release gates • Improve AI system dependability through validation, fallbacks, idempotency, permissions, audit trails, monitoring, and reviewer-correction capture • Inventory and rationalize Zapier automations by retaining, hardening, consolidating, or replacing them • Prototype against real workflows and data and take successful work through production • Document every automation with an owner, API dependencies, and a runbook

🎯 Requisitos

• 5+ years of software engineering, including hands-on experience shipping LLM-based or automation systems to production • Hands-on experience with LLM APIs (Anthropic, OpenAI) and agentic patterns: tool calling, structured outputs, exception routing, and human-in-the-loop • Sound judgment on when to use LLMs, deterministic software, or RPA • Experience building evaluation for non-deterministic systems: golden datasets, LLM-as-judge calibrated against human labels, and regression testing when prompts or models change • Experience evaluating and integrating third-party AI or automation tools, weighing cost, effort, and risk against building in-house • Strong backend engineering and REST/GraphQL API integration on AWS (Node.js/TypeScript preferred) • Clear communication with non-technical stakeholders: ability to turn an operational workflow into a system design and explain tradeoffs to leadership • Track record of shipping working systems beyond demos or prototypes • Freight or logistics background (TMS, EDI, drayage, or carrier/shipper operations) — nice to have • Document AI or OCR experience, including confidence calibration and human review workflows — nice to have • Experience with RPA platforms (UiPath preferred) and modernizing or augmenting existing bots with AI — nice to have • Low-code automation (Zapier) and workflow orchestration — nice to have • SQL and dbt; experience with Redshift, MongoDB, PostgreSQL, or Firestore — nice to have • React for lightweight internal tools — nice to have • Active GitHub or open-source work — nice to have

🏖️ Benefícios

• Competitive compensation • Medical, dental, and vision benefits • 401K company match program • Flexible paid time off (PTO) and paid holidays

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