Forward Deployed Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate closely with top AI laboratories and enterprise partners to establish research objectives, technical specifications, and project trajectories.

• Create large-scale data intelligence frameworks for the collection, organization, evaluation, and enhancement of training and evaluation data.

• Develop machine learning pipelines for data curation, model training, evaluation, experimentation, and ongoing enhancement.

• Design data taxonomies, labeling frameworks, and quality assurance protocols to enhance dataset organization, model efficiency, and research results.

• Build applications for large language models (LLMs), including multi-agent systems, tool-using agents, retrieval-augmented generation (RAG) workflows, evaluation harnesses, and human-in-the-loop systems.

• Convert vague AI challenges into well-defined technical projects and production systems in collaboration with research and engineering teams.

• Establish infrastructure for model inference, experimentation, evaluation, and deployment across cutting-edge AI platforms.

• Develop systems that assist partners in transitioning from isolated AI experiments to dependable, repeatable, multi-turn agent workflows.

• Take ownership of systems throughout discovery, architecture, implementation, deployment, reliability, iteration, and partner success.

⛳️ Requirements

• Capable of functioning independently in uncertain, partner-facing environments while demonstrating strong technical and product ownership.

• Proficient in Python programming with a track record of developing and delivering production systems from start to finish.

• Experienced with large language models (LLMs), agentic systems, multi-turn workflows, tool utilization, RAG, or AI automation.

• Familiar with building or maintaining data pipelines, machine learning infrastructure, evaluation systems, or research workflows.

• Solid comprehension of data quality, taxonomy design, labeling workflows, and dataset curation for AI applications.

• Comfortable engaging directly with technical partners, researchers, founders, and enterprise stakeholders.

• Preferred: experience in a startup, AI infrastructure firm, applied AI organization, or a research-oriented engineering team.

• Preferred: background in developing systems for multi-turn agents, agent evaluations, workflow automation, or human-in-the-loop AI.

• Preferred: expertise in designing data taxonomies, annotation frameworks, evaluation criteria, or dataset quality pipelines.

• Preferred: experience serving as a technical partner to external clients, research teams, or strategic enterprise accounts.

• Preferred: familiarity with contemporary LLM tools, agent frameworks, model evaluation stacks, and machine learning experimentation platforms.

🏝️ Benefits

• Equity compensation

• Performance-based bonuses

• Up to 100% reimbursement for health insurance premiums

• Paid time off

• 401(K) plan with a company match

• Additional benefits designed to support a high-performing, remote-first workforce