M
AI Engineer
Machine Learning Technologies LLC
5 hours ago
Full-time
On-site
Houston, Texas, United States
Job Overview
Job ID: J53501
Job Title: AI Engineer
Location: Houston, TX
Duration: 18 Months + Extension
Domain Exposure: IT/Software
Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C
Job Description We are seeking an AI Engineer with hands-on experience designing, building, and deploying enterprise Generative AI solutions on Databricks. The ideal candidate will have expertise in RetrievalAugmented Generation (RAG), custom AI agents, document intelligence, vector search, evaluation frameworks, prompt engineering, and model serving. The role involves working closely with business and technical stakeholders to develop scalable AI solutions that support real-world enterprise use cases.
Key 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.
Required Skills AI / GenAI
Retrieval-Augmented Generation (RAG)
Custom AI agents / Agentic workflows
Prompt engineering
Evaluation frameworks (LLM-as-a-Judge, RAG evaluation, AI testing)
Information extraction and AI document parsing
Vector search
Model serving and inference APIs
AI governance and quality assessment
Databricks
Databricks AI/ML Platform
Databricks Model Serving
MLflow
Delta Lake
Vector Search
Unity Catalog
PySpark
Databricks SQL
Lakehouse architecture
Technical Stack
Python
SQL
PySpark
LangChain / LangGraph / Semantic Kernel (preferred)
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.
Ideal Candidate Profile
Enterprise AI architecture experience.
Hands-on RAG and vector search implementation.
Databricks AI/ML platform expertise.
Custom AI agent development.
AI evaluation and governance frameworks.
Production deployment experience on Azure and/or AWS.
Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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Job ID: J53501
Job Title: AI Engineer
Location: Houston, TX
Duration: 18 Months + Extension
Domain Exposure: IT/Software
Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C
Job Description We are seeking an AI Engineer with hands-on experience designing, building, and deploying enterprise Generative AI solutions on Databricks. The ideal candidate will have expertise in RetrievalAugmented Generation (RAG), custom AI agents, document intelligence, vector search, evaluation frameworks, prompt engineering, and model serving. The role involves working closely with business and technical stakeholders to develop scalable AI solutions that support real-world enterprise use cases.
Key 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.
Required Skills AI / GenAI
Retrieval-Augmented Generation (RAG)
Custom AI agents / Agentic workflows
Prompt engineering
Evaluation frameworks (LLM-as-a-Judge, RAG evaluation, AI testing)
Information extraction and AI document parsing
Vector search
Model serving and inference APIs
AI governance and quality assessment
Databricks
Databricks AI/ML Platform
Databricks Model Serving
MLflow
Delta Lake
Vector Search
Unity Catalog
PySpark
Databricks SQL
Lakehouse architecture
Technical Stack
Python
SQL
PySpark
LangChain / LangGraph / Semantic Kernel (preferred)
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.
Ideal Candidate Profile
Enterprise AI architecture experience.
Hands-on RAG and vector search implementation.
Databricks AI/ML platform expertise.
Custom AI agent development.
AI evaluation and governance frameworks.
Production deployment experience on Azure and/or AWS.
Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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