Generative AI

Machine Learning Technologies, LLC; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an experienced Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs). The role focuses on building scalable enterprise solutions with Python, RAG pipelines, vector databases, and cloud deployment in AWS or Azure.

You will work with OpenAI, Azure OpenAI, and Hugging Face models, implement prompt engineering and LLM fine-tuning, and develop AI agents using LangChain and LangGraph while

Qualifications

• Hands-on experience building Generative AI solutions for enterprise applications.
• Experience with deployment and monitoring of AI systems in cloud environments.
• Ability to design modular AI components and pipelines for scalable use.

Responsibilities

• Design and develop Generative AI applications using Python and LLMs.
• Build and optimize RAG pipelines and integrate vector databases.
• Work with OpenAI, Azure OpenAI, and Hugging Face models.
• Implement prompt engineering and LLM fine-tuning.
• Develop AI agents using LangChain and LangGraph.
• Integrate AI solutions with enterprise applications and REST APIs.
• Deploy and monitor AI applications using AWS or Azure.

Skills

Python Programming

LLMs

RAG pipelines

Vector databases

REST APIs

AWS/Azure

OpenAI/Azure OpenAI/HuggingFace

Tools

LangChain

LangGraph

VectorDBs

OpenAI

Azure OpenAI

HuggingFace

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

We are looking for an experienced Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Python, RAG pipelines, and cloud technologies. The ideal candidate should have hands-on experience building scalable Generative AI solutions for enterprise applications.

Design and develop Generative AI applications using Python and LLMs.

Build RAG pipelines and integrate vector databases.

Work with OpenAI, Azure OpenAI, and Hugging Face models.

Implement prompt engineering and LLM fine-tuning.

Develop AI agents using LangChain and LangGraph.

Integrate AI solutions with enterprise applications and REST APIs.

Optimize model performance, accuracy, and response quality.

Deploy and monitor AI applications using AWS or Azure.

Collaborate with data scientists and development teams.

Required Skills

• Python Programming

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.