Senior AI Engineer – Automation

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $120k - $180k / year

⏰ Full Time

🟠 Senior

🤖 QA Automation Engineer

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Redwood Logistics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2001

🚗 Transport

📦 Logistics

Transport • Logistics • Supply Chain

Redwood Logistics is a next-generation leader in fourth-party logistics (4PL), dedicated to modernizing supply chains through innovative technology and comprehensive logistics management. Utilizing their Logistics Platform as a Service (LPaaS), Redwood offers flexible, end-to-end supply chain solutions that integrate various services and technologies, providing customers with custom-tailored logistics strategies. With an emphasis on automation and visibility, Redwood empowers businesses of all sizes to optimize their supply chain operations, ensuring efficient and headache-free management of freight and logistics processes.

📋 Description

• Design and build agentic AI systems using LLM-based orchestration frameworks such as LangChain • Develop prompt engineering strategies, tool-use architectures, and retrieval-augmented generation (RAG) pipelines • Architect multi-agent systems for routing, validation, enrichment, communication, and exception handling across freight operations • Build agent monitoring, observability, and fallback mechanisms for reliable, scalable AI systems • Identify and prioritize high-ROI automation opportunities across carrier onboarding, load tendering, document extraction, invoice reconciliation, exception triage, and customer status updates • Partner with Operations, Brokerage, and Customer Success teams to understand workflows, validate automation logic, and measure impact • Build AI-powered document processing pipelines for bills of lading, rate confirmations, carrier invoices, proof of delivery, and compliance documents • Develop extraction, classification, and validation systems for variable document formats, quality, and completeness • Implement guardrails, output validation, and confidence scoring to prevent incorrect AI actions from propagating downstream • Ship production systems and debug production issues

🎯 Requirements

• 2+ years of experience building and deploying LLM-powered applications, including RAG pipelines, agentic systems, or structured output extraction • Deep understanding of prompt engineering, context management, tool use, and failure modes of LLM-based systems • 4+ years of experience integrating AI/ML systems with real-world APIs, databases, and event-driven architectures • Ability to decompose complex operational workflows into automatable systems with clear inputs, outputs, and failure paths • Proficient in leveraging Azure or AWS to deploy scalable machine learning algorithms into production • MS or PhD in Computer Science, Data Science, Applied Mathematics, Physics, or equivalent work experience • Ability to communicate with technical and non-technical stakeholders is a plus • Three years of experience in supply chain, logistics, transportation, or a similar space is a plus

🏖️ Benefits

• Access to experts and resources for your Learning & Development journey • Opportunity for internal mobility • Employee referral bonus program • Employee Resource Groups (ERGs) • Annual fundraising and volunteer events to give back to communities • Paid time off, floating holidays, time off to volunteer and rollover • Paid parental leave • Medical, dental, vision and 401k plans (with match) • Flexible spending account, mass transit and dependent care plans available • Health savings account, with a annual company contribution for plan participants • Short-term and long-term disability; life insurance policies subsidized by company • Pet insurance • Accident care • Access to legal advice • Annual incentives based on individual and company performance • Flexible work schedule based on coverage

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