Applied AI Engineer: Partner-Facing Data & ML Pipelines

Evbrocks; Northern (KY); Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Equity compensation

Performance bonuses

Health insurance

Paid time off

401(k) plan with company match

Job summary

Evbrocks is seeking a Forward Deployed Engineer to collaborate with world-class AI labs and enterprise partners 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

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

LLMs

Partner-facing

Technical ownership

Tools

LLM tooling

Production systems

ML infrastructure

Job description

Evbrocks is seeking a Forward Deployed Engineer to collaborate with world-class AI labs and enterprise partners 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