micro1 career
Forward Deployed Engineer at micro1
A technical partner role working directly with AI labs and enterprises. The engineer helps partners define research goals, curates and structures training and evaluation data, builds ML pipelines, and develops agentic systems that run multi-turn workflows in production. It sits between research questions and hands-on engineering, and the listing notes the position is remote with travel required.
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What you would do
- Work with AI labs and enterprise partners to define research goals and requirements
- Build data systems and ML pipelines for curation, training, and evaluation
- Design data taxonomies, labeling systems, and quality frameworks
- Develop LLM applications such as multi-agent systems, RAG workflows, and evaluation harnesses
What the listing asks for
- Strong Python engineering with experience shipping production systems end to end
- Experience with LLMs, agentic systems, multi-turn workflows, tool use, or RAG
- Experience with data pipelines, ML infrastructure, or evaluation systems
- Understanding of data quality, taxonomy design, and dataset curation
- Preferred: startup, AI infrastructure, or research engineering background
Suits professionals who are strong Python engineers, comfortable with ambiguity, and ready to work directly with research teams and enterprise stakeholders.
The listing as micro1 posted it
This is micro1's public listing for the role, read October 29, 2026, with dashes and placeholder links cleaned up. The listing is micro1's text; the summary above and everything below it is ours.
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.
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.
Referral link. We may be paid a referral fee.
Pay and terms
The listing states $180,000 to $250,000 a year. That is the compensation micro1 published for this full-time role, not an offer. On extras, the listing says: Eligible for equity compensation and possible performance-based bonuses, plus health-insurance premium reimbursement up to 100%, paid time off, and a 401(k) with company match.
This is an employee role on micro1's own team. The payment terms on our expert pages (USD twice a month through Deel) describe micro1's contractor experts, and the listing does not say they apply here, so rely on the offer you receive. Read our micro1 review for what workers say about the company.
Before you apply
These are employee roles on micro1's own team, hired through its recruiting process, which can differ from the expert interview and certification route. Follow the steps in the listing and have your resume and a short note on your most relevant work ready.
Apply through the listing on micro1's site and follow the process it describes. Our how to become an AI trainer guide covers the expert contractor route (AI interview, certification, matching), which may not be how micro1 hires for its own team.
Referral link. We may be paid a referral fee.
People also ask
Is a forward deployed engineer in demand?
This page cannot measure market demand for the profession. What it can say is that micro1 listed a Forward Deployed Engineer role on its public job list when we read it on October 23, 2026. Listings open and close without notice, so check micro1's site for the current status.
How much do forward-deployed engineers get paid?
This site does not publish market salary data for the profession and gives no general figure. micro1's listing for its Forward Deployed Engineer role states a base salary of $180,000 to $250,000 a year, with eligibility for equity compensation, possible performance-based bonuses, paid time off and a 401(k) with company match.
What is a forward deployed engineer?
At micro1, the Forward Deployed Engineer works directly with AI labs and enterprise partners as a technical research and implementation partner: helping define research goals, curating data, building ML and evaluation pipelines, and developing agentic systems for multi-turn workflows. The listing says remote with travel required. Other employers may define the title differently.
How much does the Forward Deployed Engineer role at micro1 pay?
The listing states $180,000 to $250,000 a year. That is the compensation micro1 published for this full-time role. On extras, the listing says: Eligible for equity compensation and possible performance-based bonuses, plus health-insurance premium reimbursement up to 100%, paid time off, and a 401(k) with company match. Check the listing for the current figure and for anything it does not spell out, such as equity or benefits.
Is the Forward Deployed Engineer role remote?
Yes. The listing describes it as remote work. On where you can be based, it says: remote, travel required. Read the eligibility line on the listing before you apply.
How do I apply for the Forward Deployed Engineer role?
Open the listing on micro1's site and apply there, then follow the process the listing describes. This is an employee role on micro1's own team. The AI interview, certification and project matching in our how to become an AI trainer guide are the route for expert contractors and may not be how micro1 hires for this role.
Is this listing still open?
We read micro1's public listing on October 29, 2026. Roles close without notice, so confirm on the listing itself. If it has closed, the other careers at micro1 roles on this site are linked below.
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Sources and method
- micro1 public job listing for this role, read October 29, 2026. The summary, task and requirement lines are our paraphrase of that listing.
- The questions under People also ask: Google's related questions for this kind of role in the United States, as reported by Ahrefs, pulled October 29, 2026. Answers are ours, written from the listing and from our own sourced micro1 pages.
Listings change without notice. If this page is out of date, tell us.
Referral link: we may be paid if micro1 hires you.