AI engineer

Quantum Technologies. LLC

Plano (TX)

Sur place

USD 120 000 - 180 000

Plein temps

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Résumé du poste

Quantum Technologies. LLC in Plano, TX seeks a senior AI engineer with a strong CS/data science foundation to drive applied AI research and rapid prototyping. You will build hands-on AI solutions and coordinate with cross-functional teams to convert ideas into working systems.

Required: Python proficiency and hands-on experience with LLMs, ML frameworks, and GenAI tools (TensorFlow, PyTorch). You will explore OpenAI/Azure AI ecosystems, implement prototypes, and document outcomes for technical

Qualifications

  • Bachelor’s degree (or equivalent experience) 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.

Connaissances

Python
AI research
LLMs
Prototyping
Research engineering
Communication
Documentation
Multi-track management

Formation

Bachelor’s degree in Computer Science or related field

Outils

TensorFlow
PyTorch
LangChain
LangSmith
OpenAI
Anthropic
Hugging Face
Azure AI
AWS Bedrock
GitHub Copilot

Description du poste

  • 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.

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