Forward Deployed Engineer – Remote / Travel
Listing checked September 15, 2026 · pay as published by Micro1
Overview
This role puts you face-to-face with top AI labs and enterprise partners as a technical research and implementation partner. You'll work across applied AI, ML infrastructure, data intelligence, and partner-facing product development. Expect to help partners shape research directions, curate high-quality data, build ML and evaluation pipelines, and create agentic systems that extend multi-turn agents and workflows in production. You'll move between ambiguous research questions, technical architecture, hands-on engineering, and partner-facing execution.
What You'll Do9
- 1Collaborate with leading AI labs and enterprise partners to set research goals, technical requirements, and project direction.
- 2Build large-scale data intelligence systems that collect, organize, evaluate, and improve training and evaluation data.
- 3Implement ML pipelines for data curation, model training, evaluation, experimentation, and continuous improvement.
- 4Design data taxonomies, labeling systems, and quality frameworks that enhance dataset structure, model performance, and research outcomes.
- 5Develop LLM applications, including multi-agent systems, tool-using agents, RAG workflows, evaluation harnesses, and human-in-the-loop systems.
- 6Partner with research and engineering teams to turn ambiguous AI problems into scoped technical projects and production systems.
- 7Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.
- 8Build systems that help partners move from one-off AI experiments to reliable, repeatable, multi-turn agent workflows.
- 9Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, iteration, and partner success.
Requirements6
- 1Able to operate independently in ambiguous, partner-facing settings with strong technical and product ownership.
- 2Strong Python engineer with experience building and shipping production systems end to end.
- 3Experience working with LLMs, agentic systems, multi-turn workflows, tool use, RAG, or AI automation.
- 4Built or maintained data pipelines, ML infrastructure, evaluation systems, or research workflows.
- 5Strong understanding of data quality, taxonomy design, labeling workflows, and dataset curation for AI systems.
- 6Comfortable working directly with technical partners, researchers, founders, and enterprise stakeholders.
Who Should Apply
This role suits a Python engineer who has shipped production LLM systems and is comfortable working directly with external partners on ambiguous problems. You should have hands-on experience with agentic workflows, RAG, and data curation, and be ready to travel as needed. The role is less suitable for someone who prefers a fixed, well-defined task list or who has not worked in a partner-facing capacity. Candidates often get rejected when they lack concrete examples of end-to-end system ownership or cannot show how they have handled multi-turn agent evaluation in production. Another common reason for low fit scores is not demonstrating experience with data taxonomy design or labeling workflows.
Salary Insight
The national pay range for this full-time position is a base salary of $180,000 to $250,000 USD. All employees are eligible for equity compensation, and performance-based bonuses may apply depending on role and company policies. micro1 also provides benefits including up to 100% reimbursement for health-insurance premiums, paid time off, and a 401(K) plan with a company match.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
$250K–400K ≈ $125–$200/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay sits above that range.
Based on 543 similar roles that publish pay · 106 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 643
- Listed in last 30 days
- 436
- Remote
- 95%
Hiring most right now: micro1 (250) · Mercor (86) · SME Careers (76)
Most requested skills · share of roles
- python19%
- technical writing10%
- llm evaluation8%
- ai training7%
Figures from Machine Learning & AI roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
$250K–400K
Required Skills
Application Tip
When you apply, highlight specific projects where you built and shipped production LLM systems, especially multi-turn agents or RAG workflows. Quantify your impact, such as the scale of data pipelines you managed or improvements in model evaluation metrics. Also mention any experience designing data taxonomies or labeling systems, as these are key differentiators for this role.
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