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 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)
- 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
Databricks GenAI Engineer in United States at Harnham
This position is listed as contract and able to be worked remotely. It was posted last week.