Agentic AI Expert

Role Title: Agentic AI Expert

Role Type: Contractor

Location: Remote

micro1 is engaging Agentic AI Experts to contribute to a customer’s project focused on advancing agentic AI workflows within technical environments. In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

• Utilize autonomous AI coding agents to execute and document complex software engineering and technical workflows.
• Plan, implement, debug, and refactor code in collaboration with AI agents, providing clear rationale and detailed feedback on outcomes.
• Evaluate AI-generated code, identifying errors, hallucinations, and opportunities for improvement.
• Compare outputs across multiple AI systems and document findings related to reasoning quality and coding performance.
• Draft best practices and process documentation for effective AI agent workflows, emphasizing clarity in communication and reproducibility.
• Deliver practical feedback on agentic development environments, including coding assistants and automation tools.
• Participate in practical exercises to demonstrate hands-on familiarity with AI-powered technical tasks relevant to modern workflows.

Preferred Qualifications

• Demonstrated proficiency delegating multi-step technical tasks to AI systems and iteratively refining results.
• Strong understanding of prompt engineering, AI collaboration patterns, and evaluation of AI-generated outputs.
• Background in software engineering, DevOps, data science, ML engineering, or technical automation.
• Familiarity with agentic development environments and leading AI coding assistants (e.g., Codex, GitHub Copilot, Claude Code, Cursor, Gemini CLI, etc.).
• Exceptional written and verbal English communication skills, particularly in documenting workflows and providing actionable feedback.
• Experience comparing, experimenting with, or reviewing multiple AI-powered development tools and systems.