Forward Deployed Engineer — Enterprise AI Solutions & Strategy

We are seeking a detail-oriented Forward Deployed Engineer — Enterprise AI Solutions & Strategy ($300,000 - $650,000/year, 100% remote) to join ZR Talent Group. Contributors in this role draw upon real-world mastery of Python, LLM Systems, ML Infrastructure, RAG/AI Automation to evaluate AI-generated deliverables, construct detailed grading rubrics, and guide post-training model alignment.

Prior experience building machine learning systems is not required—our research partners value authentic practitioner judgment, domain rigor, and clear analytical writing.

Key Responsibilities & Deliverables

• 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.

Required Qualifications & Technical Criteria

• 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 Experience & Bonus Attributes

• 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.
• Working knowledge of modern LLM tooling, agent frameworks, model evaluation stacks, and ML experimentation platforms.
• Compensation & Benefits Notice
• The national pay range for this full-time position is base salary of $180,000 –$250,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. ZR Talent Group provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

Compensation, Remote Eligibility & Schedule

• Compensation Band: $300,000 - $650,000/year
• Work Model: 100% Remote / Work From Home with flexible asynchronous scheduling
• Eligible Remote Locations: United States, Canada, United Kingdom, Australia, New Zealand, Ireland, and South Africa
• Current Openings: 1 active specialist position
• Hiring Organization: ZR Talent Group
• Core Skills & Technologies: Python, LLM Systems, ML Infrastructure, RAG/AI Automation