Senior Generative AI Engineer

arrow

New York / $85 - $125 hour

INFO

Salary
SALARY:

$85 - $125

Location

LOCATION

New York

Job Type
JOB TYPE

Contract

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.

CONTACT

SIMILAR
JOB RESULTS

4k-Harnham_DA copy
CAN’T FIND THE RIGHT OPPORTUNITY?

STILL
LOOKING?

If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.