GenAI Forward-Deployed Engineer (Remote)

Databricks Inc.; Oregon; Hybrid; USD 182,000 - 250,000; Full time

Job summary

Databricks is seeking a forward-deployed AI engineer to design and scale GenAI applications, including RAG and multi-agent systems. You will own deployments and advise customers across diverse industries while collaborating with product and engineering teams.

You will leverage HuggingFace, LangChain, and Spark to push the boundaries of GenAI, with remote-first flexibility and occasional travel to engage clients and events. Priority is given to strong communicators and collaborative learners.

Qualifications

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc.
• Expertise deploying production-grade GenAI applications with evaluation/optimizations.
• Hands-on data science experience with pandas, scikit-learn, PyTorch, etc.
• Experience deploying ML on AWS/Azure/GCP.
• Graduate degree or equivalent practical experience in a quantitative field.
• Ability to communicate technical concepts to varied audiences.
• Interest in Databricks Platform and Spark for large datasets (preferred).
• Willingness to travel every 4-8 weeks as needed.

Responsibilities

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

Skills

GenAI

RAG

LangChain

DSPy

Pandas

Scikit-learn

PyTorch

AWS

Azure

GCP

Education

Graduate degree in a quantitative discipline

Tools

HuggingFace

LangChain

DSPy

Databricks Intelligence Platform

Apache Spark

AWS

Azure

GCP

Job description

Databricks is seeking a forward-deployed AI engineer to design and scale GenAI applications, including RAG and multi-agent systems. You will own deployments and advise customers across diverse industries while collaborating with product and engineering teams.

You will leverage HuggingFace, LangChain, and Spark to push the boundaries of GenAI, with remote-first flexibility and occasional travel to engage clients and events. Priority is given to strong communicators and collaborative learners.