AI Engineer

About the role

Each engineer joins anchored in the track they are strongest in. Over time you will work across the others through pairing, shared code review and rotating work, so this is a role where you grow beyond the specialization you arrive with. AI engineering Building with LLM APIs and SDKs such as Claude, OpenAI or Gemini, including prompt design, tool calling, RAG or Agentic patterns, and shipping AI features into production

What you'll do

• Build automation that replaces manual operational work
• Develop pipelines and analytics logic that surface actionable insights
• Ship AI features into production and integrate them with internal tools
• Build alerting and anomaly detection
• Document your work clearly and share knowledge across the team

What you need

• Databricks
• BigQuery
• GCP
• Prototyping
• LLMs
• Data modelling

Good to have

• Spark
• Snowflake
• Airflow
• dbt