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11 checksActively hiring
In its favour3
- Still on the company's own careers site, checked 3 h agoModerate evidence
- Posted 6 days ago: newer than 86% of open rolesModerate evidence
- A hiring contact is attached to itSlight evidence
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AI Engineer
- Remote
- 6+ years
Salary
Not stated
Similar roles pay $210K - 270K a year · our estimate
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About the company
The company is a fast-growing, VC-backed technology company transforming the logistics and supply chain industry. As the leader in container visibility and freight audit automation, our platform integrates fragmented data from terminals, carriers, and ports to deliver a single, intelligent interface that empowers shippers and logistics providers to make better, faster decisions. Our mission is to bring transparency, efficiency, and automation to global trade—one container at a time.
As we scale, we’re investing deeply in engineering leadership to evolve our architecture, expand product capabilities, and lead the industry in data-driven logistics.
Mission/Responsibilities
As an AI Engineer at the company, you'll own and mature our AI infrastructure and agentic systems — building on existing work in document parsing, rules creation, and evaluation pipelines. Your work will directly automate freight audit decisions, turning AI into a core competitive moat for the company. Your responsibilities will include:
Design and improve AI-driven systems that automate freight audit decisions, defending against invalid charges for our users — your work will have a large financial impact on the day-to-day of the industry.
Extend our document parsing and rules-creation pipelines to handle the intricacies of multiple modes of audit.
Build and mature our evaluation pipeline to measure, monitor, and improve model and agent performance over time.
Design and build agentic systems, evolving them from rules-based automation toward more autonomous, reliable workflows.
Work within our Python/AWS ecosystem (e.g., pydantic) to ship AI systems that integrate cleanly with the broader platform.
Become a near-expert in the freight industry over time.
Requirements
- In addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset.
- Experience: Experience building and shipping production AI/ML systems. Open to both earlier-career and senior engineers — this is not a staff/principal-level role.
- Technical Skills: Strong Python experience, ideally with tools like pydantic. Experience with LLMs, agentic systems, and evaluation pipelines for AI/ML systems.
- Cloud: Experience with a popular cloud provider (AWS preferred).
- Attention to Detail: High attention to detail, able to execute at a high level with minimal supervision.
- Curiosity: A relentless desire to grow technically and learn about the freight industry.
- Experience: 6+ years
- Visa: US citizen/visa only
Where you’d work
Fully remote
You can work from
- United States
No visa sponsorship
You must already be able to work in the United States
About the company
Company hidden
- Industry: Logistics
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Your chances
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How crowded?
6 checksLow
In its favour4
- You can message the hiring contact and skip the queueModerate evidence
- Remote within United States onlySlight evidence
- Only for people already authorized to work in United StatesSlight evidence
1 moreFewer
- Senior level: far fewer people qualifySlight evidence
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- Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company- Tech stack
- Python
- AWS
- LLMs
- Type
- Full-time
- Industry
- Logistics
- Specialty
- ML
- Region
- United States
- Pay period
- Annual
Show 7 more factsShow less
- Python
- AWS
- LLMs
Role
- Category
- Data & Analytics
- Specialty
- ML
- Experience
- 6+ years
- Tech stack
- Python
- AWS
- LLMs
Location
- Work model
- Remote
- Region
- United States
- Remote from
- United States
- Visa sponsorship
- Not sponsored
- Must already work in
- United States
Compensation
- Salary
- Salary by agreement
- Pay period
- Annual
Employment
- Type
- Full-time
Company
- Industry
- Logistics
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