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Senior Generative AI Engineer

Senior Generative AI Engineer

HarnhamNew York, NY, United States
21 hours ago
Job type
  • Full-time
Job description

Senior Gen AI Engineer

Harnham, the leading recruitment specialist in Data and AI is currently partnering with a Databricks consulting partner delivering enterprise-grade GenAI and LLM solutions for end clients.

They are in need of a Sr Gen AI Engineer who has at least 5 years of experience with Databricks and who is comfortable communicating with both technical and non-technical stakeholders.

The ideal hire does not necessarily need to come form a specific company or industry, however,

  • hands-on GenAI production experience (RAG, LLMs, or agentic frameworks)
  • is a MUST.
  • Role - Sr. Gen AI Engineer
  • Location - Remote - OR - Hybrid (2-3 days on-site) in Dallas, Texas
  • Pay - $85-$125 per hour
  • Length : Extendable, 12 months initial contract
  • Utilization : 40 hr / week
  • Benefits : W2 employees are eligible to health, dental, vision, 401k benefits.

As a Sr Gen AI engineer, you will be a key player in driving project completion and working extensively with both Databricks and the end-client on your projects.

Key Responsibilities :

  • Deliver end-to-end GenAI projects on the Databricks platform, from scoping through build and deployment.
  • Develop RAG (Retrieval-Augmented Generation) and LLM-based applications that utilize enterprise data and knowledge repositories.
  • Implement vector database solutions, integrate LangChain / agentic frameworks, and optimize LLM workflows.
  • Support clients in productionizing GenAI systems with best practices for MLOps, CI / CD, and data pipeline automation.
  • Collaborate with data teams to design scalable architectures and advise on tooling, deployment, and governance.
  • Provide mentorship to broader ML teams and help clients adopt Databricks-native GenAI solutions effectively.
  • Requirements :

  • 5+ years of overall experience in AI / ML engineering or data systems.
  • 1-2 years of proven, hands-on GenAI production experience (RAG, LLMs, or agentic frameworks).
  • Strong Databricks expertise - all delivery occurs within the Databricks ecosystem (Spark, MLflow, Unity Catalog, etc.).
  • Proficiency in Python, LangChain, OpenAI API, Hugging Face, and vector DBs such as FAISS, Pinecone, Weaviate, or Chroma.
  • Strong grasp of cloud deployment (AWS, Azure, GCP) and DevOps pipelines (Git, Azure Pipelines, CI / CD).
  • Excellent communication skills for client-facing consulting and delivery engagements.
  • Preferred certifications : Databricks Associate / Professional ML Engineer, Databricks GenAI Engineer, or Databricks Data Engineer.
  • This is an excellent opportunity for someone who has designed, developed, and deployed generative AI solutions and wants to leverage that expertise as a hands-on consultant.

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    Engineer Generative Ai • New York, NY, United States

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