Data Bricks AI Engineer
Saanvi Technologies
Juno Beach, FL, United States
5 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
Unity 3d
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Computing
Databases
Python (Programming Language)
Standard Sql
Search Technologies
SQL Databases
+22 more
Pinecone
Enterprise Software Applications
LangChain
Retrieval-Augmented Generation
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
Agentic-AI
Build Management
Pyspark
CrewAI
Weaviate
AutoGen
Machine Learning Operations
FAISS
Claude
Semantic Kernel
GPT
Data Pipelines
ChromaDB
Databricks
Job description
Job DescriptionWe are seeking a Databricks AI Engineer with strong expertise in Databricks, PySpark, Generative AI, and Agentic AI to design and build intelligent, scalable AI solutions. The ideal candidate will have hands-on experience developing AI agents, RAG applications, and enterprise-grade data and AI platforms using Databricks. Key Responsibilities
- Develop scalable data pipelines and AI solutions using Databricks, PySpark, Python, and SQL.
- Design and implement Generative AI applications leveraging LLMs such as GPT, Claude, and Llama.
- Build Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
- Develop and optimize RAG (Retrieval-Augmented Generation) architectures using vector databases and embeddings.
- Utilize Databricks Mosaic AI, MLflow, Unity Catalog, and Vector Search for AI application development and governance.
- Integrate AI agents with enterprise systems, APIs, databases, and knowledge repositories.Implement LLMOps/MLOps practices for deployment, monitoring, and continuous improvement.
Requirements
- Strong experience with Databricks, PySpark, Python, and SQL
- Expertise in Generative AI, LLMs, Prompt Engineering, and RAG
- Experience building AI Agents and Multi-Agent Systems
- Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
- Knowledge of Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate)
- Experience with Azure, AWS, or GCP Cloud Platforms
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