Forward Deployed Engineer

About this role

Job Title: Forward Deployed Engineer Job Type: Full-time Location : Remote / Travel-required About the hiring company: Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. By combining world-class human expertise with advanced machine learning workflows, they enable leading AI organizations to build, evaluate, and improve cutting-edge models used across a wide range of industries.

The company works with highly accomplished professionals in fields such as software engineering, finance, healthcare, legal, operations, research, and other specialized domains. These experts contribute directly to the development of advanced AI systems by providing real-world knowledge, evaluations, feedback, and domain-specific judgment that help models reason more accurately and perform more effectively. Leveraging a proprietary AI-driven talent assessment and matching platform, the organization identifies exceptional professionals globally and connects them with high-impact projects at the forefront of artificial intelligence.

Backed by more than $40 million in funding and supported by a rapidly expanding international network of experts, the company is building critical human intelligence infrastructure for the AI economy and creating meaningful opportunities for professionals to apply their expertise in entirely new ways. 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.