Senior Generative AI Engineer

  • Posted 5 hours ago | Updated 5 hours ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Artificial Intelligence
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Python
Machine Learning Operations (ML Ops)

Job Details

Position: Senior Generative AI Engineer

Location: Remote or Hybrid (2 3 days on-site) Dallas, TX

Type: 12-month contract (possible extension)

Responsibilities:

Deliver end-to-end GenAI projects on Databricks (scoping to deployment).

Build RAG and LLM-based apps using enterprise data.

Implement vector DBs, LangChain/agentic frameworks, and optimize LLM workflows.

Support productionization with MLOps, CI/CD, and data automation best practices.

Collaborate on scalable architectures and guide clients on tooling and governance.

Mentor ML teams and enable Databricks-native GenAI adoption.

Requirements:

5+ years in AI/ML or data engineering, with 1 2 years hands-on GenAI (RAG, LLMs, agents).

Strong Databricks expertise (Spark, MLflow, Unity Catalog).

Proficient in Python, LangChain, OpenAI API, Hugging Face, and vector DBs (FAISS, Pinecone, etc.).

Experience with cloud (AWS/Azure/Google Cloud Platform) and CI/CD pipelines.

Excellent communication and consulting skills.

Preferred: Databricks ML/GenAI/Data Engineer certifications.

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