Lead AI Engineer

Lead project delivery end to end, ensuring clear governance and stakeholder communication. Guide the design and delivery of AI systems, including RAG systems and LLM-powered solutions. Mentor engineers on AI system design and production deployment practices. Establish team practices for identifying and categorizing model failures and set quality standards for production reliability.

5+ years of experience building and deploying AI solutions in production environments. Expert proficiency in Python and strong Git practices. Solid cloud experience across AWS, Azure, or GCP, with a preference for Azure. Proven MLOps/LLMOps track record using tools like MLflow or Weights and Biases.

Flexible working options to help you strike the right balance. Access to learning opportunities including certifications in AWS, Databricks, and Snowflake. Company-provided equipment and travel opportunities to attend industry conferences.