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Forward Deployed Engineer – Remote (Worldwide)
Contract type
Ongoing
Work mode
Remote · Canada, France, Germany, India +4
Experience
3 years
Job description
A Forward Deployed Engineer role working directly with AI labs and enterprise partners as a technical research and implementation partner, spanning applied AI, ML infrastructure, data intelligence, and partner-facing product development. The position is fully remote with travel required.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · Canada, France, Germany, India +4
- Pay
- USD 180,000 – 250,000 / year
What you'll do
- 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.
Nice to have
- 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.
Benefits
- Equity compensation
- Performance-based bonuses, dependent on role and subject to company policies
- 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
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About RemoteJobsOne
Key facts
- Remote-first workforce
- Uses artificial intelligence tools to assist in candidate screening and assessment