Lead AI Engineer

• Leading the design, analysis, implementation, and integration of AI model serving solutions.
• Designing and standardizing serving architectures for AI and GenAI use cases.
• Defining and implementing safe rollout and rollback strategies. Driving performance, scalability, and cost optimization.
• Establishing and reviewing runtime resilience patterns. Providing technical leadership and coaching through design and code reviews.
• Developing and reviewing performance, load, resiliency, and cost test plans.
• Ensuring operational readiness for production launches. Participating in architecture, operational readiness, and security reviews.
• Collaborating with Platform, MLOps, Reliability, Security, Data, and Product teams.

Fuel your passion!

To be successful in this role you will:

• A Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• Strong experience delivering production-grade software systems.
• Expertise in Python development.
• Experience with containerized, microservice-based architectures.
• Strong understanding of API design and versioning.  Experience with AWS.
• Knowledge of CI/CD pipelines and DevOps practices.
  • Experience mentoring engineers and leading technical initiatives.