Forward Deployed Engineer (Remote)

Joblet-AI; India; A distancia; INR 16.933.000 - 23.518.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity compensation

Performance-based bonuses

Remote-first workforce

Health-insurance premium reimbursement

Descripción de la vacante

micro1 is seeking a Forward Deployed Engineer to work directly with leading AI labs and enterprise partners. You will define research directions, build data intelligence systems, and implement ML pipelines across the full lifecycle of production AI projects.

You should be comfortable across ambiguous research questions, technical architecture, and partner-facing execution, delivering reliable multi-turn agent workflows and scalable infrastructure.

Formación

• Strong Python engineer with production experience
• Experience with LLMs, multi-agent systems, and AI automation
• Built or maintained data pipelines, ML infrastructure, evaluation systems, or research workflows
• Strong data quality and taxonomy design knowledge for AI systems
• Comfortable working with technical partners, researchers, founders, and enterprise stakeholders
• Experience acting as a technical partner to external customers or strategic accounts

Responsabilidades

• Work directly with leading AI labs and enterprise partners to define research goals, requirements, and project direction.
• Build large-scale data intelligence systems for collecting, organizing, evaluating, and improving training data.
• Implement ML pipelines for data curation, model training, evaluation, experimentation, and iteration.
• Design data taxonomies, labeling systems, and quality frameworks to improve datasets and model performance.
• Develop LLM applications, including multi-agent systems, tool-using agents, RAG workflows, and evaluation harnesses.
• Partner with R&D and engineering teams to translate AI problems into scoped technical projects and production systems.
• Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.
• Build systems enabling repeatable, multi-turn agent workflows in production.
• Own systems across discovery, architecture, implementation, deployment, reliability, iteration, and partner success.

Conocimientos

Python

LLMs

Data pipelines

Partner-facing

Production systems

Ambiguity navigation

Herramientas

ML infrastructure

RAG workflows

Agent frameworks

Descripción del empleo

• 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.