Forward Deployed Engineer (Remote)

Joblet-AI; Abu Dhabi; Remote; AED 661,000 - 918,000; Full time

Benefits offered by this job

Equity compensation

Performance-based bonuses

Remote-first workforce

Health-insurance premium reimbursement

Job summary

micro1 is seeking a Forward Deployed Engineer to work remotely with leading AI labs and enterprise partners. You will be at the intersection of applied AI, ML infrastructure, and partner-facing product development, handling ambiguous research questions and building production-ready systems.

You will define research directions, curate high-quality data, implement ML pipelines, and develop agentic multi-turn workflows that scale across frontier AI platforms. Remote-first role with travel as needed.

Qualifications

• Strong Python engineering skills with production systems experience.
• Experience with LLMs, multi-turn workflows, and RAG or AI automation.
• Ability to work directly with partners and researchers.

Responsibilities

• Collaborate with AI labs and enterprise partners to define goals and requirements.
• Build large-scale data intelligence systems for data collection and evaluation.
• Implement ML pipelines for data curation, model training, and evaluation.
• Design data taxonomies and labeling systems to improve dataset quality.
• Develop LLM applications including multi-agent systems and tool usage.

Skills

Python

LLMs

Multi-turn workflows

Agentic systems

Partner-facing

Tools

ML pipelines

Data pipelines

ML infrastructure

Job description

• Role Title: Forward Deployed Engineer (Remote)
• Role Type: Full-time
• Location: Remote / Travel-required

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

• 1. Work directly with leading AI labs and enterprise partners to define research goals, technical requirements, and project direction.
• 2. Build large-scale data intelligence systems for collecting, organizing, evaluating, and improving training and evaluation data.
• 3. Implement ML pipelines for data curation, model training, evaluation, experimentation, and continuous improvement.
• 4. Design data taxonomies, labeling systems, and quality frameworks that improve dataset structure, model performance, and research outcomes.
• 5. Develop LLM applications, including multi-agent systems, tool-using agents, RAG workflows, evaluation harnesses, and human-in-the-loop systems.
• 6. Partner with research and engineering teams to translate ambiguous AI problems into scoped technical projects and production systems.
• 7. Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.
• 8. Build systems that help partners move from one-off AI experiments to reliable, repeatable, multi-turn agent workflows.
• 9. Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, iteration, and partner success.

What We're Looking For

• 1. Able to operate independently in ambiguous, partner-facing settings with strong technical and product ownership.
• 2. Strong Python engineer with experience building and shipping production systems end to end.
• 3. Experience working with LLMs, agentic systems, multi-turn workflows, tool use, RAG, or AI automation.
• 4. Built or maintained data pipelines, ML infrastructure, evaluation systems, or research workflows.
• 5. Strong understanding of data quality, taxonomy design, labeling workflows, and dataset curation for AI systems.
• 6. Comfortable working directly with technical partners, researchers, founders, and enterprise stakeholders.

Preferred Qualifications

• 1. Background at a startup, AI infrastructure company, applied AI company, or research-focused engineering team.
• 2. Experience building systems for multi-turn agents, agent evaluation, workflow automation, or human-in-the-loop AI.
• 3. Experience designing data taxonomies, annotation systems, evaluation rubrics, or dataset quality pipelines.
• 4. Experience acting as a technical partner to external customers, research teams, or strategic enterprise accounts.
• 5. Familiarity with 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. micro1 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.

micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to [e-mail].

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

What You’ll Do

• 1. Work directly with leading AI labs and enterprise partners to define research goals, technical requirements, and project direction.
• 2. Build large-scale data intelligence systems for collecting, organizing, evaluating, and improving training and evaluation data.
• 3. Implement ML pipelines for data curation, model training, evaluation, experimentation, and continuous improvement.
• 4. Design data taxonomies, labeling systems, and quality frameworks that improve dataset structure, model performance, and research outcomes.
• 5. Develop LLM applications, including multi-agent systems, tool-using agents, RAG workflows, evaluation harnesses, and human-in-the-loop systems.
• 6. Partner with research and engineering teams to translate ambiguous AI problems into scoped technical projects and production systems.