We are looking for an AI Engineer / Data Engineer with strong hands-on experience in Python, SQL, PySpark, Databricks, Data Science, and Agentic AI.

The ideal candidate should have experience in Agentic AI model development and deployment on the Databricks platform for real-world business use cases. The role requires strong practical knowledge of AI/LLM solutions, scalable data processing, Databricks Apps, REST APIs, microservices architecture, and production-grade deployment workflows.

Required Skills

- Strong hands-on experience in Python, SQL, PySpark, LangGraph, LangChain and MlFlow
- Hands-on Databricks experience
- Experience with Databricks Apps and deployment workflows
- Experience in Agentic AI model development and deployment on Databricks platform
- Robust Data Science and Machine Learning knowledge
- Experience with LLMs and Generative AI applications
- Knowledge of REST APIs and Microservices architecture




- Strong understanding of RDBMS concepts and database design
- Ability to build optimized and scalable data pipelines
- Knowledge of AI model deployment and production workflows
- Understanding of RAG, vector databases, and AI orchestration frameworks
- Familiarity with cloud platforms like Azure, AWS, and GCP
- Knowledge of MLOps and CI/CD pipelines

AI Engineering Hiring

- The critical skills identified for AI Engineering resources areSQL, Python, Spark, and hands-on experience with Machine Learning models.
- I have negotiated with the customer toremove the Databricks experience requirementat the hiring stage.
- Post onboarding, we will ensure that the selected resources undergo adequate training and enablement on theDatabricks ecosystemto align with project requirements.(Max 5 working days)

📌 Python AI Developer (Mumbai)
🏢 Celebal Technologies
📍 Mumbai