Manager of Generative AI Engineering

Role Description

We are seeking a Manager of GenAI Engineering who splits their time equally between hands-on technical work and people leadership. As a practitioner, you will design and build production GenAI systems, translate stakeholder requests into engineering work, and upskill the team through active demonstration. As a leader, you will manage a team of 7-10 engineers, run delivery cycles, and drive execution quality.

The ideal candidate brings proven GenAI depth, a demonstrated track record of growing engineers around them, and the leadership experience to manage a team without losing their technical edge. This role suits a strong technical leader ready to take the next step, whether from a prior management role, team lead, or senior IC background. Domain experience in product data, PIM, ERP, or ecommerce is a plus; GenAI depth and leadership effectiveness are the primary criteria.

Qualifications

• Demonstrated experience shipping production-grade LLM or generative AI systems.
• Experience building automated evaluation pipelines for LLM outputs.
• Experience implementing human-in-the-loop controls and content guardrails.
• Strong track record designing, building, and operating complex distributed systems.
• Significant hands-on technical experience with a career primarily rooted in software engineering.
• Experience establishing engineering standards and influencing architecture decisions.
• Experience mentoring or upskilling engineers on GenAI concepts.
• Proven ability to translate ambiguous stakeholder requests into actionable engineering work.
• Iterative delivery mindset - ships incrementally and drives continuous improvement.
• Experience integrating AI systems with enterprise data sources and security controls.
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.

Requirements

• Lead, coach, and develop a team of 7-10 engineers.
• Actively upskill engineers on GenAI concepts, patterns, and practices.
• Translate incoming GenAI requests into well-scoped engineering work.
• Hire and onboard strong engineers; build team capacity alongside capability.
• Run iterative delivery cycles - sprint planning, backlog grooming, and blocker removal.
• Own operational outcomes for production AI systems.
• Partner with the Sr. Manager and cross-functional stakeholders.
• Represent engineering in planning discussions.
• Lead design and hands-on implementation of production-grade generative AI systems.
• Define and implement reusable engineering patterns for AI services.
• Build and maintain automated evaluation pipelines for LLM outputs.
• Implement human-in-the-loop controls and secure AI systems.
• Continuously evaluate emerging AI models and tools.
• Champion an iterative delivery culture.

Benefits

• Prolonged periods in a stationary position at a desk and working on a computer.
• Must be able to communicate effectively via video conferencing, phone, and written correspondence.
• Occasional travel may be required depending on project or business needs.

Company Description

Infinite Electronics is committed to building a diverse workforce and providing equal employment opportunities to all qualified candidates. All hiring decisions are based on qualifications, skills, and business needs, without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, age, national origin, disability, or any other status protected by applicable law.