Forward Deployed Engineer for AI Systems

Lead technical partnerships to design, implement, and operate production-grade AI systems that turn real-world expertise into high-quality training data, evaluation pipelines, and agentic multi-turn workflows. This role combines applied research, ML infrastructure, data intelligence, and partner-facing product development to help AI labs and enterprise teams move from experiments to reliable production systems.

micro1 is an AI data lab focused on training frontier models and evaluating AI agents by converting domain expertise from finance, healthcare, STEM engineering, and other fields into datasets, evaluations, and feedback loops. The Forward Deployed Engineer will work closely with those strategic partners to define research directions and deliver engineering solutions that improve model learning and performance.

• Work directly with leading AI labs and enterprise partners to set research goals, translate technical requirements, and shape 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 to improve dataset structure and model outcomes.
• Develop LLM applications, including multi-agent systems, tool-using agents, retrieval-augmented generation workflows, evaluation harnesses, and human-in-the-loop systems.
• Partner with research and engineering teams to scope ambiguous AI problems into concrete technical projects and production-ready systems.
• Develop infrastructure for inference, experimentation, evaluation, and deployment across frontier AI platforms.
• Build systems to move partners from one-off experiments to repeatable, reliable multi-turn agent workflows.
• Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, iteration, and partner success.

• Strong Python engineer with experience building and shipping production systems end to end.
• Demonstrated experience with LLMs, agentic systems, multi-turn workflows, tool use, retrieval-augmented generation, or AI automation.
• Experience building or maintaining data pipelines, ML infrastructure, evaluation systems, or research workflows.
• Deep understanding of data quality, taxonomy design, labeling workflows, and dataset curation for AI systems.
• Ability to operate independently in ambiguous, partner-facing settings, with strong technical and product ownership.
• Comfort working directly with technical partners, researchers, founders, and enterprise stakeholders.
• Required skills explicitly include Python, LLM systems, ML infrastructure, and RAG or AI automation experience.

• Background at a startup, AI infrastructure company, applied AI company, or research-focused engineering team.
• Experience building systems for multi-turn agents, agent evaluation, workflow automation, or human-in-the-loop AI.
• Experience designing data taxonomies, annotation systems, evaluation rubrics, or dataset quality pipelines.
• Experience acting as a technical partner to external customers, research teams, or strategic enterprise accounts.
• Familiarity with modern LLM tooling and agent frameworks.

• Employment type: Full-time.
• Location: Remote, travel required for partner work and engagements.
• Role-level: Forward Deployed Engineer, member of a core technical team working with external partners.

Base compensation range: 300000 to 650000 yearly.