Remote AI Engineering Lead — Drive AI Team Outcomes

Findjobit; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Niuro is hiring an AI Engineering Lead for a US technology client. This hands-on leadership role coordinates several autonomous AI engineering teams while ensuring accurate, usable software delivery.

You will translate business priorities into clear outcomes, manage several workstreams, and oversee code reviews and releases. The role emphasizes practical assessment of AI outputs, robust automation, and precise written communication.

Qualifications

• 6+ years in software engineering with technical leadership of concurrent development workstreams.
• Hands-on experience with several AI coding tools or agent frameworks.
• Strong ability to read code changes, investigate defects, run meaningful tests and judge AI-generated output.

Responsibilities

• Translate business priorities into clear outcomes, task briefs, scope boundaries and measurable definitions of success.
• Coordinate parallel AI engineering workstreams, shared code, technical decisions and dependencies.
• Configure AI coding tools, terminal sessions and automation, keeping progress and handoffs visible.
• Inspect code changes and tests, require proper review, and oversee safe integration, releases and real-world verification.
• Evaluate AI output through source review and meaningful tests, not automated summaries.
• Protect confidential information and elevate decisions to the right owner.

Skills

Software engineering

Technical leadership

AI tools & frameworks

Code review & testing

Shell scripting & Git

Written communication

English proficiency

Tools

Agent frameworks

AI coding tools

macOS automation

Job description

Niuro is hiring an AI Engineering Lead for a US technology client. This hands-on leadership role coordinates several autonomous AI engineering teams while ensuring accurate, usable software delivery.

You will translate business priorities into clear outcomes, manage several workstreams, and oversee code reviews and releases. The role emphasizes practical assessment of AI outputs, robust automation, and precise written communication.