Muir AI is building the Product Intelligence Platform – empowering companies to understand how their products are made, what they cost, and how they impact the environment. By combining AI with deep supply chain data, we give teams instant visibility into product cost drivers and carbon footprint, enabling faster, smarter decisions.

We’re looking for an AI Engineer to help develop the core intelligence that power the Muir platform. You’ll work across the full lifecycle of applied AI - researching, prototyping, and shipping production-grade systems that deliver actionable product and supply-chain insights. As part of a small, high-impact team, you have broad ownership and will shape both our AI architecture and future roadmap.

• Design and build AI pipelines - including data prep, model orchestration, and inference services - for cost modeling, carbon estimation, and supply-chain analysis
• Explore, prototype, and validate new techniques to boost accuracy, coverage, and speed
• Deploy and monitor models and services in production, ensuring reliability and performance at scale
• Partner with product, sales, and customer teams to turn real-world use cases into AI solutions
• Contribute to a growing stack that blends classical algorithms, LLMs, and domain-specific logic

• 3+ years of experience building and operating AI systems (LLMs, knowledge graphs, or other advanced techniques)
• Strong Python skills; comfortable wiring together services, APIs, and orchestration frameworks
• Experience across the AI lifecycle, from data ingestion to continuous delivery and monitoring
• Ability to thrive amid ambiguity and take ownership in an early-stage environment
• Excellent cross-function communication
• Seattle-based or willing to relocate
• Bonus: background in manufacturing, supply chain, procurement, or sustainability domains
• Bonus: Startup or small team experience where you’ve worn multiple hats