Job Details

Who is Recruiting from Scratch:

Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.

About the client:

Title of Role: AI Engineer
Location: San Francisco, CA
Company Stage of Funding: Series B ($65M Raised)
Office Type: Hybrid - 3-5 Days/Week In-Office
Salary: $130,000 - $200,000
Company Description:

We're working with Loop, a fast-growing AI-driven supply chain technology company on a mission to unlock profits trapped in the supply chain and lower costs for consumers. Founded in 2021 and backed by leading investors like J.P. Morgan, Index Ventures, Founders Fund, and Flexport, Loop is disrupting the freight audit and pay market by automating highly complex back-office workflows with AI.

Their platform uses domain-driven AI to make sense of fragmented supply chain data, improving visibility and enabling companies to control costs and power profit. Customers include industry leaders such as J.P. Morgan Chase, Great Dane, Emerge, and Loadsmart. With a team of 95 and growing, Loop offers the chance to make a measurable impact on an industry ripe for transformation.
What You Will Do:

As an AI Engineer at Loop, you'll work across the AI/ML stack - from modeling to infrastructure - and ship features that directly impact Loop's business and customers. You will:

• Train, evaluate, and deploy multimodal LLMs for document extraction, normalization, and linking.
• Build highly accurate models that meet the stringent data quality requirements of Loop's customers.
• Scale Loop's inference infrastructure to handle orders-of-magnitude growth in processing volume.
• Develop AI agent workflows to automate freight audit and related back-office operations.
• Contribute to ML infrastructure - scaling training and inference, improving reliability, and ensuring systems are production-ready.
• Support backend automation in the servicing and workflow domain.

Example Projects:

• Scaling throughput of the inference engine with continuous batching.
• Fine-tuning multimodal LLMs to reduce hallucinations.
• Building agents to automate freight invoice audits.

Ideal Candidate Background:

• 1-3 years of professional experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Open to new grads with a CS degree from a top university.
• Strong foundation in ML modeling, infrastructure, and AI engineering.
• Ability to contribute across ML systems and backend engineering.

Preferred:

• Experience with document processing, workflow automation, or freight/logistics data.
• Familiarity with scaling ML systems in production environments.
• Exposure to multimodal AI and LLM fine-tuning.
• Strong problem-solving skills and comfort working in a fast-paced, high-growth environment.

Compensation and Benefits and Other Things:

• Salary: $130,000 - $200,000
• Location: Hybrid role based in San Francisco (3-5 days/week in office)
• Other Benefits:
  
  • Health, dental, and vision insurance
  • High ownership and visibility in a growing AI team
  • Work directly with leadership to shape Loop's AI strategy

This role is perfect for an ambitious engineer who wants to work at the cutting edge of AI in the supply chain space - from building state-of-the-art multimodal models to deploying production-ready AI systems that deliver immediate customer value.
Salary Range: $150,000-$250,000 base.