Forward Deployed Engineer | Remote

Role Responsibilities

• Work directly with leading AI labs and enterprise partners to define research goals, technical requirements, and project direction.
• Build large-scale data intelligence systems for collecting, organizing, evaluating, and improving training and evaluation data.
• Implement ML pipelines for data curation, model training, evaluation, experimentation, and continuous improvement.
• Design data taxonomies, labeling systems, and quality frameworks that improve dataset structure, model performance, and research outcomes.
• Develop LLM applications, including multi-agent systems, tool-using agents, RAG workflows, evaluation harnesses, and human-in-the-loop systems.
• Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, iteration, and partner success.

Requirements

• Strong relevant experience in Python engineering with a proven track record of building and shipping production systems end to end.
• Experience working with LLMs, agentic systems, multi-turn workflows, tool use, RAG, or AI automation.
• Built or maintained data pipelines, ML infrastructure, evaluation systems, or research workflows.
• A strong understanding of data quality, taxonomy design, labeling workflows, and dataset curation for AI systems.
• Comfortable working directly with technical partners, researchers, founders, and enterprise stakeholders.