Forward Deployed Engineer | Remote
The Crossing
United States
15 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$300,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Big Data
Python (Programming Language)
Large Language Models
Multi-Agent Systems
Model Validation
Machine Learning Operations
Data Pipelines
Job description
- 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.
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Prepare application
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