Position: Forward Deployed Engineer
Type: Full-time
Compensation: $250K - $400K/yr
Location: 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
- Have strong relevant experience in Python engineering with a proven track record of building and shipping production systems end to end.
- Have experience working with LLMs, agentic systems, multi-turn workflows, tool use, RAG, or AI automation.
- Have built or maintained data pipelines, ML infrastructure, evaluation systems, or research workflows.
- Possess a strong understanding of data quality, taxonomy design, labeling workflows, and dataset curation for AI systems.
- Be comfortable working directly with technical partners, researchers, founders, and enterprise stakeholders.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage
