Remote Forward-Deployed AI Engineer

EVB; United States; Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

Equity compensation

Health-insurance premium reimbursement

Paid time off

401(K) plan with company match

Job summary

EVB is seeking a Forward Deployed Engineer to collaborate with leading AI labs and enterprise partners. You will define research directions, build data intelligence systems, and implement ML pipelines across data curation, model training, and evaluation.

The role blends hands-on engineering with partner-facing execution and production-ready deployment. You will design data taxonomies, develop multi-agent LLM applications, and ensure reliable, repeatable workflows from discovery to deployment.

Qualifications

• Strong Python engineer with experience building and shipping production systems end to end.
• Experience 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.

Responsibilities

• Define research goals, requirements, and project direction with AI labs and enterprise partners.
• Build data intelligence systems for collecting, organizing, evaluating, and improving training data.
• Implement ML pipelines for data curation, model training, evaluation, experimentation, and continuous improvement.
• Design data taxonomies, labeling systems, and quality frameworks to improve dataset structure and model performance.
• Develop LLM applications, including multi-agent systems, tool-using agents, RAG workflows, evaluation harnesses, and human-in-the-loop systems.
• Partner with teams to translate 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 move AI experiments to repeatable multi-turn agent workflows.
• Own systems across discovery, architecture, implementation, deployment, reliability, iteration, and partner success.

Skills

Python

LLMs

Agent systems

Data pipelines

Production systems

Tools

LLM tooling

Experimentation platforms

AI workflow tools

Job description

EVB is seeking a Forward Deployed Engineer to collaborate with leading AI labs and enterprise partners. You will define research directions, build data intelligence systems, and implement ML pipelines across data curation, model training, and evaluation.

The role blends hands-on engineering with partner-facing execution and production-ready deployment. You will design data taxonomies, develop multi-agent LLM applications, and ensure reliable, repeatable workflows from discovery to deployment.