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Databricks GenAI Engineer

Harnham

Databricks AI Engineer

Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.

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 W2
  • Length: 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) xhyhwjd
  • 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

Vacancy posted 9 hours ago
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