Staff Engineer, Applied ML

Sourced from roleweek.com

Circuit is building the AI execution layer for the physical economy, turning expert judgment into agents that handle judgment-heavy industrial workflows. As a Staff Engineer, Applied ML, you will build and ship ML capabilities end to end, working closely with Forward Deployed Engineers, Product Engineers, and design customers. The role centers on LLMs, RAG, and agent harnesses, with opportunities for model training, fine-tuning, and evaluation framework development. This is a hands-on position based in Austin, TX, onsite 3 days per week.

• Work end to end with FDEs and design customers to build solutions on top of Circuit
• Generalize and package solutions so FDEs can deploy them across customers
• Improve underlying models, harnesses, and evaluation methodologies
• Debug production ML pipelines and retrieval systems, including edge cases and failure modes
• Build and maintain evaluation systems with datasets, scoring approaches, and regression testing

• Strong software engineering background with a track record of shipping production systems end to end
• Deep experience with data structures and data modeling across relational and graph databases
• Hands-on experience building with LLMs, RAG systems, and agent harnesses
• Experience working directly with customers or field teams
• Proficiency in Python and Go across a multi-service architecture
• Daily, fluent use of AI coding tools

• Vision and multimodal models on technical documents (PDFs, CAD)
• Construction, civil engineering, or other industrial domain experience
• Open-source models (Qwen, DeepSeek) served with vLLM or KServe
• Hands-on PyTorch for training and fine-tuning