Senior AI Engineer – Automation

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and create agentic AI systems utilizing LLM-based orchestration frameworks such as LangChain.

• Formulate prompt engineering strategies, tool-use architectures, and retrieval-augmented generation (RAG) pipelines.

• Architect multi-agent systems for routing, validation, enrichment, communication, and exception handling throughout freight operations.

• Develop monitoring, observability, and fallback mechanisms for dependable and scalable AI systems.

• Identify and prioritize high-ROI automation prospects in areas like carrier onboarding, load tendering, document extraction, invoice reconciliation, exception triage, and customer status updates.

• Collaborate with Operations, Brokerage, and Customer Success teams to comprehend workflows, validate automation logic, and assess impact.

• Construct AI-enhanced document processing pipelines for bills of lading, rate confirmations, carrier invoices, proof of delivery, and compliance documents.

• Create extraction, classification, and validation systems for various document formats, ensuring quality and completeness.

• Implement guardrails, output validation, and confidence scoring to avert the propagation of incorrect AI actions downstream.

• Deploy production systems and troubleshoot production issues.

⛳️ Requirements

• Over 2 years of experience in building and deploying LLM-powered applications, including RAG pipelines, agentic systems, or structured output extraction.

• In-depth understanding of prompt engineering, context management, tool utilization, and failure modes of LLM-based systems.

• More than 4 years of experience integrating AI/ML systems with real-world APIs, databases, and event-driven architectures.

• Capability to break down complex operational workflows into automatable systems with well-defined inputs, outputs, and failure paths.

• Proficient in utilizing Azure or AWS for deploying scalable machine learning algorithms in production environments.

• MS or PhD in Computer Science, Data Science, Applied Mathematics, Physics, or equivalent professional experience.

• Strong communication skills with both technical and non-technical stakeholders is a plus.

• A minimum of three years of experience in supply chain, logistics, transportation, or a related field is advantageous.

🏝️ Benefits

• Access to experts and resources to support your Learning & Development journey.

• Opportunities for internal mobility.

• Employee referral bonus program.

• Participation in Employee Resource Groups (ERGs).

• Annual fundraising and volunteer events to contribute to communities.

• Paid time off, floating holidays, volunteer time off, and rollover benefits.

• Paid parental leave.

• Comprehensive medical, dental, vision, and 401k plans (with match).

• Options for flexible spending accounts, mass transit, and dependent care plans.

• Health savings account with an annual company contribution for participants.

• Short-term and long-term disability coverage; life insurance policies partially funded by the company.

• Pet insurance.

• Accident care services.

• Access to legal advice.

• Annual incentives based on individual and company performance.

• Flexible work schedule based on coverage needs.