Forward Deployed Engineer

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.

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