Enterprise GenAI Engineer: RAG, Agents & Databricks

Valiant Technologies LLC; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Valiant Technologies LLC is seeking an AI Engineer to design, build, and deploy enterprise GenAI solutions on Databricks. You will own RAG architectures, vector search, custom AI agents, and document intelligence for real-world use cases.

You will collaborate with Data Engineers and Full Stack Developers, implement evaluation and governance frameworks, and drive production deployments on Azure and/or AWS in regulated environments.

Qualifications

• Hands-on RAG and vector search implementation.
• AI evaluation, observability, and governance frameworks.
• Production deployment on Azure and/or AWS.
• Experienced deploying GenAI in regulated/enterprise environments.

Responsibilities

• Design and implement Generative AI and Agentic AI solutions.
• Build and optimize 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

AI agents

Information extraction

Model serving

AI governance

Tools

Databricks Serving

Unity Catalog

Lakehouse

LangChain

LangGraph

Semantic Kernel

Azure

AWS

Job description

Valiant Technologies LLC is seeking an AI Engineer to design, build, and deploy enterprise GenAI solutions on Databricks. You will own RAG architectures, vector search, custom AI agents, and document intelligence for real-world use cases.

You will collaborate with Data Engineers and Full Stack Developers, implement evaluation and governance frameworks, and drive production deployments on Azure and/or AWS in regulated environments.