- Design and develop LLM-powered applications, RAG pipelines and AI agents using Databricks.
- Build and orchestrate agent workflows using LangChain, LangGraph or Mosaic AI Agent Framework.
- Implement retrieval solutions using embeddings and Databricks AI Search (formerly Vector Search).
- Work with Unity Catalog for governance, permissions and lineage.
- Use MLflow for experiment tracking, tracing and evaluation.
- Deploy and manage AI applications using Databricks Model Serving and Databricks Apps.
- Optimize AI applications for accuracy, quality, latency, cost and safety.
- Collaborate with Data Scientists and engineering teams to deliver production-ready solutions.
Required Technical Skills
- Strong hands-on expertise in Python and Databricks .
- Practical experience with Mosaic AI and Unity Catalog .
- Experience building RAG applications and AI agents using LangChain / LangGraph.
- Hands-on knowledge of Databricks AI Search / Vector Search, embeddings, MLflow and Model Serving.
- Good SQL and working knowledge of PySpark.
- Experience with REST APIs, Git/GitHub, CI/CD and MLOps / LLMOps.
Positive to Have
- Experience with Azure OpenAI, ADLS and Azure Key Vault.
- Knowledge of Delta Lake, Lakeflow and prompt engineering.
- Databricks GenAI Engineer Associate or ML Professional certification.
- Experience with fine-tuning, AI evaluation and monitoring.
Looking for engineers who can move GenAI solutions beyond prototypes into production. Apply now!
📌 Senior AI Engineer – Databricks (Mosaic AI) (India)
🏢 RapidBrains
📍 India
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