Micro1
Brazil
New
Fullstack Software Engineer (AI-Native, Remote)
- AI
- Ai Tools
- Artificial Intelligence
- AWS
AI Summary
Remote full-time role for a senior AI/ML engineer to partner with leading AI labs and enterprises. Focus on building data intelligence systems, ML pipelines, agentic systems, and production workflows. Requires Python expertise, LLM/agent system experience, and strong technical ownership.
Key Highlights
Remote role with travel requirements
Full-time position with $180,000–$250,000 USD base salary
Focus on AI/ML infrastructure, agentic systems, and partner-facing product development
Key Responsibilities
Define research directions and technical requirements for AI/ML projects with leading labs and enterprises
Build large-scale data intelligence systems for data collection, organization, and evaluation
Implement ML pipelines for data curation, model training, evaluation, and continuous improvement
Design data taxonomies, labeling systems, and quality frameworks for AI systems
Develop LLM applications including multi-agent systems, RAG workflows, and human-in-the-loop systems
Partner with research and engineering teams to translate AI problems into production systems
Develop infrastructure for model inference, experimentation, and deployment
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Technical Skills Required
Benefits & Perks
Up to 100% health-insurance premium reimbursement
Paid time off
401(K) plan with company match
Equity compensation
Performance-based bonuses
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Nice to Have
Background in startups or AI infrastructure companies
Experience with multi-turn agent evaluation and workflow automation
Experience as a technical partner for external customers or research teams
Familiarity with modern LLM tooling and agent frameworks
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.
What You’ll Work On:
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