About the Role
Lead the development of core AI technologies, shape technical direction, and collaborate across teams to deliver scalable, production-grade AI solutions.
Responsibilities
- Architect and deploy scalable machine learning models
- Define technical roadmap for AI initiatives
- Collaborate with research teams to transition prototypes into production
- Optimize AI systems for performance and reliability
- Establish best practices for data pipelines and model training
- Lead code reviews and ensure software quality
- Mentor engineers in AI techniques and system design
- Evaluate emerging AI tools and frameworks
- Work closely with product teams to integrate AI features
- Ensure compliance with ethical AI guidelines
- Manage end-to-end model lifecycle deployment
- Troubleshoot complex system failures
- Improve inference latency and scalability
- Design robust evaluation metrics for model performance
- Coordinate cross-functional efforts on AI integration
- Maintain documentation for AI architectures
- Drive automation of training workflows
- Implement monitoring for model drift and degradation
- Support data annotation and labeling strategies
- Develop APIs for model serving
- Integrate security practices into AI development
- Contribute to patent filings and technical publications
- Participate in technical hiring and onboarding
- Represent AI efforts in executive discussions
- Align AI development with business objectives
Compensation
Competitive salary and equity package
Work Arrangement
Remote
Team
Small, agile team building cutting-edge AI solutions
About the Role
- This is a foundational role shaping the future of AI development within the organization.
- You will own the architecture, implementation, and scaling of intelligent systems.
- The position requires both strategic thinking and hands-on technical execution.
What We Value
- Technical excellence paired with practical judgment
- Ownership of outcomes, not just tasks
- Clear communication across technical and non-technical stakeholders
- Curiosity and continuous learning
Tech Stack
- Python, PyTorch, TensorFlow
- Kubernetes, Docker, GCP
- Airflow, MLflow, Prometheus
- BigQuery, PostgreSQL, Redis
Growth Opportunity
- Shape the direction of AI within a growing organization
- Lead hiring and team structure decisions
- Influence product roadmap through technical insights
- Opportunity to publish and present work
Application Process
- Initial screening call
- Technical deep dive with engineering lead
- System design interview
- Cultural fit and values alignment discussion
- Reference checks
Available for qualified candidates
