Forward Deployed Engineer (Fully Remote)

Micro1; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Micro1 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.

As part of our team, you’ll build large-scale data intelligence systems for collecting, organizing, and improving training and evaluation data, and implement ML pipelines for data curation, model training, experimentation, and continuous improvement, including

Qualifications

• Proven Python production systems experience.
• Experience with LLMs, agentic systems, and AI automation.
• Ability to work independently in ambiguous partner-facing environments.
• Familiarity with data quality, taxonomy design, and labeling workflows.

Responsibilities

• 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.
• Develop LLM applications such as multi-agent systems and RAG workflows.

Skills

Python engineering

LLMs

Agentic systems

AI automation

Job description

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.