Key Responsibilities

- Design, develop, and deploy AI/ML and Generative AI solutions using the Databricks platform.
- Build and implement LLM-powered applications, including Retrieval-Augmented Generation (RAG) solutions.
- Develop scalable data processing and AI pipelines using PySpark, Python, and Spark SQL.
- Utilize Databricks Mosaic AI capabilities for developing and deploying AI applications.
- Implement Vector Search, embedding models, and semantic search capabilities.
- Integrate Large Language Models (LLMs) with enterprise data sources and applications.
- Develop and optimize prompt engineering strategies for LLM-based applications.
- Use MLflow for model tracking, experimentation, evaluation, and deployment.
- Implement MLOps practices for model deployment, monitoring, and lifecycle management.
- Work closely with clients and stakeholders to understand requirements and provide technical solutions.




- Participate in client discussions, technical design sessions, and solution demonstrations.
- Troubleshoot and optimize AI application performance, scalability, and reliability.

Mandatory Skills

- Solid hands-on experience with Databricks.
- Experience in Python programming and PySpark.
- Practical experience in AI/ML or Generative AI development.
- Hands-on experience with Large Language Models (LLMs).
- Experience in developing RAG-based applications.
- Knowledge of embeddings, vector databases, and semantic search.
- Experience with MLflow or equivalent model lifecycle management tools.
- Experience in developing and deploying AI solutions in cloud environments.
- Strong analytical, problem-solving, and communication skills.

📌 Databricks AI Engineer (Hyderabad)
🏢 Kiya.ai
📍 Hyderabad