Senior AI Engineer: Automation & AI Workflows, Remote

Redwood Logistics; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision and 401k plans

Flexible spending account, massTransit

Health savings account, company annual

Paid time off, floating holidays, time

Paid parental leave

Employee referral bonus program

Employee Resource Groups (ERGs)

Annual fundraising and volunteer Event

Opportunity for internal mobility

Access to experts and resources for L&

Job summary

Redwood Logistics is seeking a Senior AI Engineer to design, build, and deploy intelligent automation systems across freight brokerage, carrier management, and customer workflows. You will ship production AI systems using LLM-based orchestration, multi-agent pipelines, and robust monitoring.

The role requires deep expertise in applied AI, prompt engineering, and integration with real-world APIs and databases, with production-ready delivery and measurable impact in logistics operations.

Qualifications

• 2+ years of experience building and deploying LLM-powered applications.
• Deep understanding of prompt engineering, context management, tool use, and the failure modes of LLM-based systems.
• 4+ years integrating AI/ML systems with real-world APIs, databases, and event-driven architectures.
• 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.

Responsibilities

• Design and build agentic AI systems using LLM-based orchestration frameworks (LangChain or similar) to automate complex, multi-step logistics workflows.
• Develop prompt engineering strategies, tool-use architectures, and retrieval-augmented generation (RAG) pipelines that enable reliable, context-aware AI behavior in production.
• Architect multi-agent systems where specialized agents collaborate on routing, validation, enrichment, communication, and exception handling across a freight operations workflow.
• Build robust agent monitoring, observability, and fallback mechanisms to ensure AI systems perform reliably at scale and degrade gracefully when they don't.
• Identify and prioritize high-ROI automation opportunities across freight operations 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 deeply, validate automation logic, and measure real-world impact.
• Build AI-powered document processing pipelines for freight-relevant documents: bills of lading, rate confirmations, carrier invoices, proof of delivery, and compliance documents.
• Develop extraction, classification, and validation systems that handle variability in document formats, quality, and completeness.
• Implement guardrails, output validation, and confidence scoring to prevent incorrect AI actions from propagating through downstream systems.

Skills

LLM-powered applications

Prompt engineering

APIs integration

Cloud platforms (Azure/AWS)

Education

MS or PhD in Computer Science, Data Science, Applied Mathematics, Physics, or equivalent work experience

Tools

LangChain

Agentic frameworks

Retrieval-Augmented Generation (RAG)

Job description

Redwood Logistics is seeking a Senior AI Engineer to design, build, and deploy intelligent automation systems across freight brokerage, carrier management, and customer workflows. You will ship production AI systems using LLM-based orchestration, multi-agent pipelines, and robust monitoring.

The role requires deep expertise in applied AI, prompt engineering, and integration with real-world APIs and databases, with production-ready delivery and measurable impact in logistics operations.