NiuroActive opening

AI Engineering Lead

Remote (Latin America)Remote (region-locked)LeadFound today
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aimcpc++macosautomationgitshell scriptingclaude
  • 8+ years of software engineering experience, including 3+ years leading concurrent development workstreams or teams

  • C1 English level or higher

  • Expertise with AI Coding Assistants, AI Agent Frameworks, and Software Engineering

  • Strong Git, Shell Scripting, and Command Line skills

  • Professional experience with macOS and Desktop Automation

  • Experience with Test Automation, AI Output Evaluation, Incident Diagnosis, Workflow Automation, Release Verification, and automation

  • Demonstrated Technical Leadership, including the ability to organize parallel workstreams and maintain clear ownership

  • Ability to demonstrate relevant work through repositories, projects, or a live walkthrough

  • Hands-on experience with C++, MCP, MCP Servers, Authentication, Authorization, GCC, Clang, Build Systems, Debugging Tools, Concurrent Processes, Source Code Review, Technical Documentation, Claude.

  • Translate business priorities into measurable outcomes, precise task briefs, scope boundaries, and success criteria.

  • Coordinate parallel AI engineering workstreams, shared code, technical decisions, dependencies, and ownership.

  • Design, build, secure, and troubleshoot MCP servers and tools, including authentication, permissions, and access boundaries.

  • Configure AI coding tools, terminal sessions, and desktop automation on macOS while maintaining visible progress and recoverable handoffs.

  • Monitor concurrent AI development processes, recover interruptions, and prevent duplicate ownership or lost evidence.

  • Review source changes and tests directly, evaluate AI-generated output, require appropriate review, and oversee safe integration and release verification.

  • Assess capacity across machines, review paths, and model accounts. Scale activity based on measured demand, established limits, and operational cost.

  • Investigate recurring failures and remove root causes so workflows remain reliable, simple, and maintainable.

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NiuroAI Engineering Lead
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