Senior AI Engineer - Databricks

YOUR ROLE Design, develop and deploy AI solutions on Databricks – from LLM-based applications and RAG pipelines to AI agents – and take them from prototype to production. Build and orchestrate agent workflows using the Databricks Mosaic AI Agent Framework or frameworks such as LangChain / LangGraph. Implement retrieval solutions with Databricks Vector Search, embeddings and well-structured knowledge sources. Deploy and serve models and agents with Databricks Model Serving, using MLflow for tracking, versioning and registry.

Evaluate and monitor AI solutions for quality, accuracy, latency, cost and safety. Apply governance, access control and lineage to AI assets using Unity Catalog. Integrate AI solutions with applications and APIs, including apps hosted as Databricks Apps. Manage code in GitHub and follow CI/CD, MLOps / LLMOps and documentation best practices. Work closely with data engineers, data scientists and stakeholders to translate business needs into AI solutions.

YOUR PROFILE 6–8 years of software, data or ML engineering experience, including hands-on Databricks experience. Practical experience with Databricks Mosaic AI and Unity Catalog – Mosaic AI is the key skill for this role. Strong Python and good SQL; working knowledge of PySpark. Hands-on experience building LLM applications, RAG and agents in production, using at least one agent / orchestration framework (e.g. LangChain / LangGraph, Mosaic AI Agent Framework).

Hands-on experience with MLflow, Databricks Vector Search and Model Serving. Experience with REST APIs and Git / GitHub with CI/CD workflows. Experience of working alongside data scientists. Strong communication skills and the ability to work with international clients; very good English. Bachelor's or Master's degree in Computer Science, IT or a related field.