Forward Deployed Engineer

Pro Integrate LLC; New York (NY); Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

Equity compensation

Health insurance premium reimbursement

401(k) plan with match

Remote-first workforce

Job summary

Pro Integrate LLC is hiring a Forward Deployed Engineer to work with world-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 will define research directions, build data systems, implement ML pipelines, and design data taxonomies to improve dataset quality and model performance.

Qualifications

• Strong Python engineer with experience 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.

Responsibilities

• Define research goals, technical requirements, and project direction with partners.
• Build data intelligence systems for collecting, organizing, evaluating, and improving training data.
• Implement ML pipelines for data curation, model training, evaluation, experimentation, and improvement.
• Develop LLM applications, including multi-agent systems, tool-using agents, RAG workflows, and human-in-the-loop systems.

Skills

Python

Production systems

LLMs

Data pipelines

Job description

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.

Job Title

Forward Deployed Engineer

Job Type

Full-time

Location

Remote / Travel-required

Scope

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.