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# Databricks AI Engineer

- **Company:** Intone Networks
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Systems, Python (Programming Language), Machine Learning, Search Technologies, Large Language Models, Apache Spark, HuggingFace, Machine Learning Operations, Databricks
- **Published:** July 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1a804052bd134768

## About the Role

The Role As a Databricks AI Engineer, you will deliver end to end GenAI solutions directly to enterprise clients. This is a highly hands on, delivery focused role, not traditional data science, focused on building, deploying, and scaling LLM and RAG applications on the Databricks platform. You'll work in a client facing capacity, owning projects from initial scoping through to production deployment. Key Responsibilities * Deliver E2E GenAI solutions on Databricks * Build RAG and LLM based applications using enterprise data * Implement vector search and agentic workflows (LangChain, etc.) * Productionise AI systems using CI/CD, MLOps, and cloud pipelines * Work directly with clients to deploy and optimise AI solutions Requirements * 5+ years in AI/ML engineering or data systems * Strong hands on expertise with Databricks (Spark, MLflow, Unity Catalog) * Proficiency in Python and tools such as LangChain, OpenAI, Hugging Face * Experience with Databricks AI Tools (Agent Bricks,
GenieAI, MosaicAI) * Experience with vector databases (Pinecone, FAISS, Weaviate, etc.) * Strong cloud and CI/CD experience (AWS, Azure, or GCP) * Excellent communication skills for client facing delivery * Databricks certifications (ML Engineer, GenAI, Data Engineer)



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