AI Engineer

NxT Level • Palo Alto, CA

25d

About The Position

The Applied AI Engineer will build production-grade AI systems that transform complex, real-world manufacturing data into reliable operational intelligence. This backend-heavy role covers multimodal data pipelines, retrieval and reasoning systems, model evaluation, and production APIs. The engineer will own systems end-to-end, from architecture and implementation through deployment, monitoring, and continuous improvement, and will work with customers and product teams to translate manufacturing challenges into technical solutions.

Requirements

• Strong backend software engineering experience and expertise in TypeScript.
• Experience designing scalable APIs, data pipelines, and production systems.
• Strong understanding of cloud infrastructure, system architecture, and distributed data workflows.
• Familiarity with applied AI, LLMs, retrieval systems, or machine learning applications.
• Ability to build reliable, observable systems and troubleshoot production issues.
• Experience working with complex, unstructured, or real-world data.
• Strong technical judgment and ability to balance speed, scalability, and reliability.
• Comfort working independently in an early-stage startup environment.
• High ownership, strong problem-solving skills, and a bias toward shipping.

Nice To Haves

• Experience deploying applied AI or ML systems to production.
• Experience with multimodal AI, RAG, agentic workflows, or model evaluation.
• Experience building data ingestion and processing systems.
• Frontend development experience with React or other modern JavaScript frameworks.
• Experience in manufacturing, industrial automation, robotics, or other physical-world applications.

Responsibilities

• Design and build backend infrastructure for production AI applications.
• Develop multimodal data ingestion pipelines for complex manufacturing data.
• Build retrieval, reasoning, and data processing systems that power operational intelligence.
• Design reliable, scalable APIs connecting AI systems to real-world workflows.
• Create evaluation and feedback loops to measure and improve model performance.
• Own system reliability, including logging, monitoring, diagnostics, and error handling.
• Work directly with customers and product teams to translate manufacturing challenges into technical solutions.
• Own engineering decisions from initial design through production.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed