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Databricks Engineer

  • Databricks Engineer job type Posted on: Oct 12, 2026
  • Databricks Engineer experience level Openkyber
  • Databricks Engineer employment type Atlanta, Georgia
  • Databricks Engineer employment type Onsite
  • Databricks Engineer salary Full-time

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Job Title :

Databricks Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

AI engineers with Databricks expertise, need Hybrid in any of these locations across Minnesota, Dallas, or New York/New Jersey. C2C or W2

Mandatory Skills: AI Engineering, Genie tool, Databricks, Agentic

We are looking for a hands-on Databricks Specialist to design, develop and productionize enterprise-grade GenAI and agentic AI solutions using the Databricks platform.

Key Responsibilities

  • Build end-to-end RAG, agentic AI and machine-learning solutions on Databricks
  • Develop ingestion, chunking, embedding, retrieval, evaluation and orchestration pipelines
  • Work hands-on with Mosaic AI, MLflow, Vector Search, Model Serving and Unity Catalog
  • Integrate AI solutions with enterprise applications, APIs and data platforms
  • Implement CI/CD, automated testing, observability, security and production controls
  • Collaborate directly with clients to translate business problems into scalable AI solutions

Required Skills

  • Strong hands-on experience with Databricks, Python, PySpark, SQL, RAG, LLMs, vector databases, MLflow, APIs and AWS or Azure.
  • Excellent communication, problem-solving and client-facing skills are essential.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

106578-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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AI engineers with Databricks expertise, need Hybrid in any of these locations across Minnesota, Dallas, or New York/New Jersey. C2C or W2

Mandatory Skills: AI Engineering, Genie tool, Databricks, Agentic

We are looking for a hands-on Databricks Specialist to design, develop and productionize enterprise-grade GenAI and agentic AI solutions using the Databricks platform.

Key Responsibilities

  • Build end-to-end RAG, agentic AI and machine-learning solutions on Databricks
  • Develop ingestion, chunking, embedding, retrieval, evaluation and orchestration pipelines
  • Work hands-on with Mosaic AI, MLflow, Vector Search, Model Serving and Unity Catalog
  • Integrate AI solutions with enterprise applications, APIs and data platforms
  • Implement CI/CD, automated testing, observability, security and production controls
  • Collaborate directly with clients to translate business problems into scalable AI solutions

Required Skills

  • Strong hands-on experience with Databricks, Python, PySpark, SQL, RAG, LLMs, vector databases, MLflow, APIs and AWS or Azure.
  • Excellent communication, problem-solving and client-facing skills are essential.

For applications and inquiries,

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