Forward Deployed Engineer

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Job Title: Forward Deployed Engineer

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Job Type: Full-time

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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.

- 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