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Forward Deployed Engineer

micro1· Core team
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Hybrid (Remote)$300k - $650kFull-timePosted 1mo ago

About the role

Forward Deployed Engineer role at micro1, focusing on technical research and implementation partner work with leading AI labs and enterprises. Combines applied AI, ML infrastructure, data intelligence, and partner-facing product development to build data pipelines, ML workflows, and multi-turn agent systems.

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.
  • Partner with research and engineering teams to translate ambiguous AI problems into scoped technical projects and production systems.
  • Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.
  • Build systems that help partners move from one-off AI experiments to reliable, repeatable, multi-turn agent workflows.
  • Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, iteration, and partner success.

Qualifications

  • Able to operate independently in ambiguous, partner-facing settings with strong technical and product ownership.
  • Strong Python engineer with experience 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.
  • 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.

Skills

Required:PythonLLM SystemsML InfrastructureRAG/AI Automation

Benefits

  • up to 100% reimbursement for health-insurance premiums
  • paid time off
  • a 401(K) plan with a company match
  • additional benefits designed to support a high-performing, remote-first workforce
Last updated Oct 11, 2026. Interested? Apply on the company site.

About micro1

Data lab to train frontier models & evaluate agents

We’re building the infrastructure for advancing intelligence through expert human data, real-world training environments, and contextual evaluations.

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