Forward Deployed Engineer

micro1
AI and machine learning
Remote
Full time
Core team

$300,000 to $650,000/yrIndicative range provided by micro1

Posted on September 14, 2026 · Applications until November 13, 2026

Apply on micro1

I am sending you to the official micro1 page. Applying is free and in English.

I earn a commission from the platform when a candidate I referred gets hired. It changes nothing for you.

The Forward Deployed Engineer collaborates with leading AI labs and enterprises to build ML pipelines, data intelligence systems, and agentic workflows. Applicants must be strong Python engineers with professional experience building production systems and working with large language models.

Description in English, as published by micro1.

Job Title: Forward Deployed Engineer

Job Type: Full-time

Location: Remote / Travel-required

The Role

We’re hiring a Forward Deployed Engineer to work directly with the world’s leading AI labs and enterprises as a technical research and implementation partner. This role sits at the intersection of applied AI, ML infrastructure, data intelligence, and partner-facing product development.

You’ll help strategic partners define research directions, structure and curate high-quality data, implement ML and evaluation pipelines, and build the agentic systems that extend multi-turn agents and workflows in production. You should be comfortable moving between ambiguous research questions, technical architecture, hands-on engineering, and partner-facing execution.

What You’ll Work On

  • 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.

What We're Looking For

  • 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.

Preferred Qualifications

  • 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, agent frameworks, model evaluation stacks, and ML experimentation platforms.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $180,000, $250,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

Required skills

  • Python
  • LLM Systems
  • ML Infrastructure
  • RAG/AI Automation

About micro1

micro1 is an AI data lab that hires remote experts to train and evaluate models. The original posting is on their site.

View this job on micro1

More jobs in AI and machine learning

QC Engineer - DataOS Management

Turing
AI and machine learning
Remote
Full time

This remote contractor role involves overseeing quality control pipelines, evaluating technical project outputs, and ensuring high standards for AI data workflows. Candidates must possess strong software engineering fundamentals and previous experience as a quality control expert or technical project lead.

  • QA
  • Quality Management

Posted 3 days ago

LLM Trainer - Agent Function call

Turing
AI and machine learning
Remote
Full time

The LLM Trainer designs multi-turn conversations and simulates tool use to help foundational AI companies train and evaluate their models. The role requires strong technical reasoning skills, experience with APIs and data formats, and three years of professional technical experience.

  • Python
  • Java
  • JavaScript

Posted 4 days ago

Member of Technical Staff, Enterprise AI

micro1
AI and machine learning
Expert
Remote
Full time
Core team

This role embeds within enterprise AI systems to diagnose failures, design evaluation datasets, and run experiments. Candidates need a Master's degree in Computer Science or Machine Learning and strong experience in designing ML evaluation frameworks.

  • Research Signal Judgment
  • ML-Oriented Data Design
  • Ops-to-Research Translation
  • +1

Posted 4 days ago$300,000 to $700,000/yr

Member of Technical Staff, Frontier AI

micro1
AI and machine learning
Expert
Remote
Full time
Core team

The Member of Technical Staff owns research and evaluation initiatives, designing machine learning data systems and analyzing model failures to improve system performance. Candidates need strong judgment regarding research signal quality and experience designing evaluation frameworks.

  • Research Signal Judgment
  • ML-Oriented Data Design
  • Ops-to-Research Translation
  • +1

Posted 4 days ago$20,000 to $25,000/month