Databricks AI Engineer

Job summary

The Role As a Databricks AI Engineer, you will deliver end to end GenAI solutions directly to enterprise clients. This is a highly hands on, delivery focused role, not traditional data science, focused on building, deploying, and scaling LLM and RAG applications on the Databricks platform.

Qualifications

• 5+ years in AI/ML engineering or data systems
• Strong hands on expertise with Databricks (Spark, MLflow, Unity Catalog)
• Proficiency in Python and

Responsibilities

• The Role As a Databricks AI Engineer, you will deliver end to end GenAI solutions directly to enterprise clients.
• Deliver E2E GenAI solutions on Databricks
• Build RAG and LLM based applications using enterprise data
• Implement vector search and agentic workflows (LangChain, etc.)
• Productionise AI systems using CI/CD, MLOps, and cloud pipelines
• Work directly with clients to deploy and optimise AI solutions

Skills

Degrees

Company size