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About the Role:
- You will serve as a technical partner to leading AI labs and enterprises, helping them define research directions and implement production systems.
- You will own projects across the full lifecycle, from discovery and architecture to deployment and iteration, ensuring reliable and repeatable AI workflows.
What You'll Do:
- Build large-scale data intelligence systems for collecting, organizing, and improving training and evaluation data.
- Implement ML pipelines for data curation, model training, experimentation, and continuous improvement, and develop LLM applications such as multi-agent systems and RAG workflows.
What We're Looking For:
- Strong Python engineering skills with experience shipping production systems end to end, and experience with LLMs, agentic systems, and AI automation.
- Ability to operate independently in ambiguous, partner-facing settings with strong technical ownership and familiarity with data quality, taxonomy design, and labeling workflows.
Micro1
Our client is a venture-backed AI company building intelligent systems by combining human expertise with machine learning. With over $40 million in funding and a global expert network, they provide critical infrastructure for AI development.