Applied AI & Optimization Engineer

What you'll do

• Develop scheduling, resource-allocation, constraint-satisfaction, and conflict-resolution algorithms; design analytics for defects, yield, and throughput.
• Integrate, evaluate, deploy, and fine-tune LLMs for cloud, air-gapped, and on-edge use; productionize optimization and ML systems.
• Work with manufacturing domain experts to model operational constraints and assess build-versus-buy options.

What they ask for

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• U.S. citizenship is required due to ITAR regulations; export-control eligibility requirements also apply.
• 5+ years of engineering experience with substantial applied optimization, operations research, or ML systems work.
• Deep Python proficiency, fluency with an optimization framework, and a record of productionizing algorithmic systems.

Nice to have

• Scheduling, planning, or resource-allocation systems experience in manufacturing, logistics, or similar domains.
• Hands-on open-source LLM deployment or fine-tuning, air-gapped or on-edge deployment, simulation modeling, or defense/aerospace/regulated-industry experience.

Pay

$140,000 - $185,000 USD (base salary)

Tools

Python, MILP solvers, constraint solvers, OR-Tools, Llama, Mistral

AI focus

Integrate and deploy open-source or custom LLMs for the platform’s AI assistant, including fine-tuning and cloud, air-gapped, and on-edge deployments.