AI engineer

Machine Learning Technologies, LLC; Plano (TX); On-site; USD 170,000 - 230,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Senior AI/ML engineer to advance rapid prototyping, research, and production-ready AI solutions. You will work across LangChain, LLMs, and modern GenAI tooling to translate cutting-edge research into practical systems.

The role requires 5+ years in AI/ML roles, strong Python skills, and hands-on experience with TensorFlow/PyTorch, MLOps, and vector databases. Plano, TX-based, full-time position.

Qualifications

• Bachelor’s degree in Computer Science, AI, Data Science, or a related technical field
• Minimum 12 years of IT experience
• 5+ years of hands-on experience in AI engineering, research engineering, ML prototyping, or similar roles.
• Strong programming proficiency in Python and familiarity with major AI/ML frameworks (TensorFlow, PyTorch).
• Practical experience with LLMs, prompt engineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools.
• Experience building rapid prototypes, POCs, and experimental AI applications.
• Deep understanding of AI ecosystems such as OpenAI, Anthropic, Hugging Face, AzureAI, AWS Bedrock
• Familiarity with developer tools like GitHub Copilot, GPT-based coding assistants, and modern MLOps workflows.
• Comfort exploring model internals, parameter tuning, API integrations, and evaluation frameworks.
• Strong ability to translate cutting-edge research concepts into practical technical solutions.
• Excellent communication and documentation skills for both technical and non-technical audiences.
• Curiosity-driven mindset and commitment to daily research, experimentation, and continuous learning.
• Ability to manage multiple research tracks, prototypes, and fast-moving developments.

Responsibilities

• Experience building rapid prototypes, POCs, and experimental AI applications.

Skills

Python

AI engineering

ML prototyping

research engineering

prompt engineering

Education

Bachelor’s degree in Computer Science/AI/Data Science

Tools

TensorFlow

PyTorch

LangChain

LangSmith

CrewAI

vector databases

GitHub Copilot

MLOps workflows

Job description

• Bachelor’s degree (or equivalent experience) inComputer Science,AI, Data Science, or a related technical field.
• Minimum 12 years of IT experience
• 5+ years of hands-on experienceinAIengineering, researchengineering, ML prototyping, or similar roles.
• Strong programming proficiency inPythonand familiarity with majorAI/ML frameworks (TensorFlow, PyTorch).
• Practical experience withLLMs, promptengineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools.
• Experience building rapid prototypes, POCs, and experimentalAIapplications.

AppliedAI& Tooling Knowledge

• Deep understanding ofAIecosystems such asOpenAI, Anthropic, Hugging Face, AzureAI, AWS Bedrock, etc.
• Familiarity with developer tools likeGitHub Copilot, GPT-based coding assistants, and modern MLOps workflows.
• Comfort exploring model internals, parameter tuning, API integrations, and evaluation frameworks.
• Strong ability to translate cutting-edge research concepts into practical technical solutions.
• Excellent communication and documentation skills for both technical and non-technical audiences.
• Curiosity-driven mindset and commitment to daily research, experimentation, and continuous learning.
• Ability to manage multiple research tracks, prototypes, and fast-moving developments.

Added Bonus if You Have

• Experience withfine-tuning, LoRA, or custom model training.
• Background inagenticAIsystems, automation frameworks, and workflow orchestration.
• Prior experience publishing research insights or contributing to open-sourceAIprojects.
• Certifications in advancedAI/ML topics or cloudAIplatforms.

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.