About the role

Databricks AI Engineer Harnham, the leading recruitment specialist in Data and AI, is partnering with a Databricks consulting organisation delivering enterprise‑scale GenAI solutions. They are hiring experienced Forward Deployed Engineers to build and deploy production‑ready AI systems for end clients.
Role: Databricks GenAI Engineer
Location: Remote
Pay: $70 - $75 per hour W2Length: 5 month contract (extendable)
Utilization: 40 hours/week
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 Databricks expert team internally within an enterprise environment building state of the art agentic solutions.
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)
Next Steps: If you are interested in this opportunity, please apply below

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Experience level

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Occupation

Data Warehousing Specialists

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Posted

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