ML Engineer, Applied AI – Crucible

What you'll do

• Develop AI-assisted workflows grounded in Crucible’s manufacturing data, APIs, and domain model; build the supporting retrieval, orchestration, evaluation, and production services.
• Integrate optimization, forecasting, and other models into reliable product capabilities, and select and evaluate models against operational and deployment constraints.
• Set applied-AI engineering standards and support deployments in cloud, air-gapped, and edge environments.

What they ask for

• 3+ years building and shipping production software or ML systems.
• Strong machine-learning fundamentals; hands-on production experience with LLMs or other foundation models, beyond API integration.
• Technical ownership of AI/ML systems from experimentation through production, including implementation, architecture, evaluation, and debugging.
• Strong Python and software engineering fundamentals; experience with modern ML frameworks, transformer-based models, and evaluating and monitoring production AI/ML behavior.

Nice to have

• Experience with open-source models and local inference; model fine-tuning, inference optimization, or GPU deployment.
• Experience in manufacturing, supply chain, logistics, aerospace, defense, robotics, or other complex physical systems.

Pay

$167,000 – $193,000 USD (base salary)

Tools

Python

AI focus

Productionize optimization, forecasting, and other ML models; integrate foundation models; build AI-assisted workflows, including retrieval, tool use, orchestration, evaluation, and monitoring. Support cloud, air-gapped, and edge deployments.