Generative AI Engineer - RAG & Agentic AI (Databricks)

Robotics Technologies; Houston (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Robotics Technologies is seeking an AI Engineer to design, build, and deploy enterprise Generative AI solutions on Databricks, with a focus on RAG, custom agents, document intelligence, and evaluation.

The role involves designing end-to-end AI systems, integrating with enterprise data platforms, and collaborating with Data Engineers and Full Stack Developers to deliver production-grade AI-powered products in a fast-paced, enterprise environment.

Qualifications

• Experience with production-grade GenAI solutions.

Responsibilities

• Design and implement Generative AI and Agentic AI solutions.
• Build and optimize Retrieval-Augmented Generation (RAG) architectures and vector search solutions.
• Develop custom AI agents and agent workflows.
• Implement document parsing, information extraction, and document intelligence capabilities.
• Create and maintain evaluation frameworks to assess AI solution quality, accuracy, and reliability.
• Design prompts and optimize prompt engineering strategies.
• Deploy and manage models using Databricks Model Serving and related MLOps capabilities.
• Integrate AI solutions with enterprise data platforms and applications.
• Collaborate with Data Engineers and Full Stack Developers to deliver end-to-end AI-powered products.

Skills

RAG

Custom AI agents

Prompt engineering

Evaluation frameworks

Information extraction

Vector search

Model serving

Python

SQL

LangChain

Azure

AWS

REST APIs

Cloud-native deployments

Tools

Databricks AI/ML Platform

Databricks Model Serving

MLflow

Delta Lake

Unity Catalog

PySpark

Databricks SQL

Job description

Robotics Technologies is seeking an AI Engineer to design, build, and deploy enterprise Generative AI solutions on Databricks, with a focus on RAG, custom agents, document intelligence, and evaluation.

The role involves designing end-to-end AI systems, integrating with enterprise data platforms, and collaborating with Data Engineers and Full Stack Developers to deliver production-grade AI-powered products in a fast-paced, enterprise environment.