Micro1
Brazil
AI/ML Engineer, Internal Platforms
- AI
- Ai Tools
- Artificial Intelligence
- AWS
AI Summary
Forward Deployed Engineer working directly with leading AI labs and enterprises as a technical research and implementation partner. Build large-scale data intelligence systems, ML pipelines, LLM applications, and production agent workflows. Requires strong Python engineering, LLM/agentic systems experience, and partner-facing technical ownership.
Key Highlights
Forward Deployed Engineer role at micro1
Remote, travel-required position
Works directly with leading AI labs and enterprise partners
Builds data intelligence systems, ML pipelines, and LLM applications
Owns systems across the full lifecycle
Key Responsibilities
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.
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Technical Skills Required
Benefits & Perks
Equity compensation
Performance-based bonuses
Up to 100% reimbursement for health-insurance premiums
Paid time off
401(K) plan with company match
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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.
Job Description
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
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