GenAI Production Engineer - Remote & Customer-Facing

Neura Market; Northern (KY); Hybrid; USD 153,000 - 210,000; Full time

Job summary

Databricks is seeking an AI Engineer - FDE (ALL LEVELS) to design, build, and deploy GenAI and LLM applications at scale. You will work closely with customers and internal teams, shaping deployments and best practices across platforms.

The role welcomes remote candidates and emphasizes collaboration, innovation, and staying at the forefront of GenAI trends. Strong production experience and a quantitative background are valued.

Qualifications

• GenAI applications incl. RAG, multi-agent systems, Text2SQL, fine-tuning.
• Production-grade GenAI deployments on AWS, Azure or GCP.
• Hands-on data science with pandas, scikit-learn, PyTorch.
• Excellent ability to communicate complex concepts to non-technical and technical audiences.
• Willing to travel 4–8 weeks to meet customers as needed.

Responsibilities

• Develop cutting-edge GenAI solutions using the latest Databricks AI research.
• Own production rollouts of GenAI applications for customers.
• Serve as a trusted technical advisor to customers across domains.
• Present at conferences and contribute to the product roadmap.
• Collaborate cross-functionally with product and engineering teams.

Skills

GenAI

RAG

multi-agent systems

Text2SQL

fine-tuning

HuggingFace

LangChain

DSPy

production deployment

AWS

Azure

GCP

Pandas

scikit-learn

PyTorch

Communication

Collaboration

Education

Graduate degree in CS/Engineering/Statistics/OR equivalent practical experience

Tools

AWS

Azure

GCP

Databricks Intelligence Platform

Apache Spark

Job description

Databricks is seeking an AI Engineer - FDE (ALL LEVELS) to design, build, and deploy GenAI and LLM applications at scale. You will work closely with customers and internal teams, shaping deployments and best practices across platforms.

The role welcomes remote candidates and emphasizes collaboration, innovation, and staying at the forefront of GenAI trends. Strong production experience and a quantitative background are valued.