About the Role
Lead the design and implementation of AI systems while guiding technical direction and mentoring team members in a fast-paced, early-stage environment.
Responsibilities
- Define and execute the AI product roadmap
- Develop scalable machine learning models and infrastructure
- Collaborate with product and engineering teams to integrate AI solutions
- Mentor and grow a team of AI engineers
- Evaluate and adopt emerging AI technologies
- Ensure model performance, reliability, and scalability
- Translate business challenges into technical AI strategies
- Lead research initiatives to improve model accuracy
- Maintain high standards for data quality and model validation
- Drive deployment of AI features to production environments
- Establish best practices for AI development and experimentation
- Work closely with leadership to align technical goals with company vision
- Optimize inference pipelines for speed and cost efficiency
- Design data collection and labeling strategies
- Implement monitoring systems for model behavior in production
- Contribute to architectural decisions across the tech stack
- Ensure compliance with ethical AI principles
- Support rapid prototyping of new AI-driven features
- Troubleshoot and resolve model performance issues
- Document technical designs and system workflows
- Participate in code reviews and system testing
- Improve model interpretability and explainability
- Collaborate on user feedback integration for AI improvements
- Balance innovation with technical debt management
- Lead incident response for AI-related outages
Compensation
Competitive salary with equity package
Work Arrangement
Remote
Team
Early-stage startup environment focused on AI innovation
About the Role
- This is a remote position offering the opportunity to shape the technical foundation of an emerging AI company.
- The engineer will play a central role in defining product direction and building core AI capabilities from day one.
What We’re Looking For
- We seek a technically strong leader who thrives in uncertainty and can drive innovation without heavy oversight.
- The ideal candidate combines deep AI expertise with practical engineering judgment and leadership ability.
Available for qualified candidates
