Remote AI Deployment & Research 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

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.