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Open nowPosted 38 days ago

Forward Deployed Engineer | Full-time - Remote

xperteez208 open roles

Where
United States
Work mode
Remote
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Your applicationOpen nowForward Deployed Engineer | Full-time - Remotexperteez · United States

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This job: posted 38 days ago

The posting

Job Title: Forward Deployed Engineer

Job Type: Full-time

Location: Remote / Travel-required

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.

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.

Required Skills

  • Python
  • LLM Systems
  • ML Infrastructure
  • RAG/AI Automation

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.
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