Senior AI Engineer – Automation

Redwood Logistics

. Design and build agentic AI systems using LLM-based orchestration frameworks such as LangChain .

Posted 11/2/2026full-timeRemote • United StatesSenior💰 $120,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building LLM-powered AI systems, including prompt engineering, RAG pipelines, and multi-agent architectures. Proficient in deploying scalable machine learning algorithms using Azure or AWS while ensuring reliable system performance and effective communication with diverse stakeholders.

Highest-signal resume keywords

LLM-Powered Applications DevelopmentPrompt EngineeringRAG PipelinesAzure or AWS DeploymentSupply Chain or Logistics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Agentic AI Systems DesignMulti-Agent Systems ArchitectureDocument Processing PipelinesExtraction and Classification SystemsAutomation Logic DevelopmentFailure Mode AnalysisOperational Workflow DecompositionOutput ValidationConfidence ScoringProduction System Debugging

Soft Skills

Communication with Stakeholders

Certifications & Qualifications

MS or PhD in Computer ScienceData ScienceApplied MathematicsPhysics

Industry Keywords

Freight OperationsCarrier OnboardingLoad TenderingInvoice ReconciliationDocument ExtractionException TriageCustomer Status Updates

Tech Stack

Tools & technologies

AWSAzure

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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