AI Engineer II / AI Engineer III

About Us

KlearNow.AI is on a mission to futurize global trade. Our patented AI and machine learning platform digitizes and contextualizes unstructured trade documents to unlock real-time shipment visibility, drive smart analytics, and provide critical business intelligence—without the hassle of complex integrations.

We empower supply chains to move faster, work smarter, and make data-driven decisions with confidence. With operations in the U.S., Canada, U.K., Spain, and the Netherlands—and aggressive growth plans underway—we’re scaling a global platform for the future of logistics.

We achieve our goals by assembling a team of the best talents. As we expand, it's crucial to maintain and strengthen our culture, which places a high value on our people and teams. Our collective growth and triumphs are intrinsically linked to the success and well-being of every team member

OUR VISION

To empower people and optimize processes with AI-powered clarity.

YOUR MISSION

We’re building a team of bold thinkers, problem solvers, and storytellers. As part of our high-energy, inclusive workplace, you’ll challenge the status quo of traditional supply chains and help shape a more transparent, intelligent, and efficient world of trade.

Whether you're a product innovator, logistics expert, or marketing storyteller—your work at KlearNow.AI will make a measurable impact.

Why Klearnow.ai

Global Impact: Be part of a platform live in five countries and expanding rapidly.

Fast-Growing SaaS Company: Work in an agile environment with enterprise backing.

Cutting-Edge Tech: AI-powered customs clearance, freight visibility, document automation, and drayage intelligence—all in one.

People-First Culture: We invest in our team’s growth and well-being.

Make Your Mark: Shape the future of trade with your ideas and energy.

Responsibilities

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• Develop innovative AI solutions for challenging business problems.
• Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
• Build backend systems that interact with other microservices.
• Train and optimize machine learning models.
• Engineer machine intelligence systems and infrastructure for real-world production use at scale.
• Explore data features and manipulate data with SQL and scripts.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like Scikit-learn)
• Should be able to understand the problem statement and be able to justify the usage of AI/ML as a solution
• Be able to quickly prototype and provide results
• Be able to understand requirements and fine tune them to provide results for concrete problems

Key Qualifications

• Strong coding experience in Python and working with related libraries (NumPy/Pandas/matplotlib).
• Familiarity with machine learning frameworks (Keras/PyTorch/Tensorflow) and relevant libraries.
• Excellent knowledge and good practical skills in major ML algorithms as applied to Natural Language Processing and Computer Vision.
• Practical experience with deep learning projects is highly valued.
• Ability to improve the accuracy, runtime, scalability and reliability of machine intelligence systems.
• Strong in understanding underlying math and algorithms.
• Passion for continuing to learn state-of-the-art techniques in ML/Data science.