AI Engineering Lead

Requirements:

• 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.

Key Responsibilities:

• 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.