AI Engineer

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.

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

Requirements

• Retrieval-Augmented Generation (RAG)
• Custom AI agents and agentic workflows
• Prompt engineering
• Evaluation frameworks including LLM-as-a-Judge, RAG evaluation, and AI testing
• Information extraction and AI document parsing
• Vector search
• Model serving and inference APIs
• AI governance and quality assessment
• Databricks AI/ML Platform
• Databricks Model Serving
• MLflow
• Delta Lake
• Unity Catalog
• PySpark
• Databricks SQL
• Lakehouse architecture
• Python and SQL
• Preferred: LangChain / LangGraph / Semantic Kernel
• Azure and/or AWS
• REST APIs
• Cloud-native AI deployments

Preferred Qualifications

• Experience building production-grade AI solutions
• Experience deploying GenAI applications in regulated or enterprise environments
• Databricks certifications: Machine Learning, GenAI, Lakehouse Fundamentals
• Experience with multi-agent systems and enterprise AI architectures
• Strong understanding of evaluation, observability, and governance of AI solutions

Location and Details

• Location: Houston, TX (onsite)
• Job ID: J53501
• Duration: 18 Months + Extension
• Domain exposure: IT/Software

Employment Type

• W-2
• 1099
• C2C

Work Authorization

• US Citizen
• Green Card
• OPT-EAD
• CPT
• H-1B
• H4-EAD
• L2-EAD
• GC-EAD