AI Engineer II

Leantechniques

Johnston, Iowa, United States Remote permanent

Posted: February 3, 2026

Required Skills

Job Description

Maybe you’re bored and need a new challenge. Or you’re tired of proof-of-concepts that never go anywhere and want to build AI that actually ships. Or maybe you just want to work somewhere that trusts you to do great work without all the red tape.

Whatever the reason, we want you to know that LT is different. And not just air quotes “different,” but more like “breathing easy for the first time in a long time” different.

It’s a place where you can write your own story and make a difference along the way. At LT, you’ll have the freedom and flexibility to do what you think needs to be done — while working alongside a team of curious individuals who love a good challenge.

We’re currently looking to add an AI Engineer II to this nerd club of ours. If you’ve got a few years of real-world experience building machine learning or AI-powered systems and are ready to level up, we’d love to chat.

Here’s what you can expect as an AI Engineer II at LT:

• You’ll work with a small, collaborative team (typically 3–5 people) to design, build, and deploy AI-driven solutions that solve real business problems.

• You’ll develop and productionize machine learning models — from data exploration and feature engineering to training, evaluation, and deployment.

• You’ll collaborate closely with software engineers, product owners, and clients to integrate AI capabilities into scalable, maintainable applications.

• You’ll help improve data pipelines, model performance, and system reliability.

• You’ll follow best practices around testing, monitoring, documentation, and responsible AI use.

• You’ll continue sharpening your skills through hands-on experience, mentorship, and ongoing learning opportunities.

What we’re generally looking for:

• 2–5 years of experience working with machine learning, data science, or AI systems in a professional setting

• Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.)

• Experience working with real-world data

• Familiarity with deploying models into production environments (cloud platforms, APIs, pipelines)

• Azure AI experience is a plus

• Curiosity, problem-solving mindset, and a desire to keep learning

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