Senior AI/ML Engineer - RAG & LLM Systems (Plano, TX)

MACHINE LEARNING TECHNOLOGIES LLC

Plano (TX)

On-site

USD 56,000 - 95,000

Full time

28 hours ago
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Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Plano, TX is seeking an experienced AI/ML Engineer to develop and deploy scalable AI/ML models and enterprise-ready RAG applications. You will transform business requirements into production-ready solutions and collaborate with cross-functional teams.

The role emphasizes hands-on Python, ML/DL, and Generative AI expertise, with responsibilities spanning model training, evaluation, deployment, and monitoring in a modern CI/CD environment.

Qualifications

  • Experience designing and deploying end-to-end AI/ML models.
  • Strong knowledge of ML/DL, and production-grade ML systems.
  • Familiarity with embeddings, vector databases, and RAG pipelines.

Responsibilities

  • Analyze business requirements and design scalable AI/ML solutions.
  • Develop, train, evaluate, and optimize ML, DL, NLP, and Generative AI models.
  • Build LLM applications and RAG pipelines using embeddings, vector databases, prompt engineering, and orchestration frameworks.
  • Integrate AI/ML solutions into enterprise platforms via APIs and microservices.
  • Collaborate with data engineering, cloud, DevOps, QA, architecture, and business teams.
  • Implement production practices including CI/CD, testing, containerization, model versioning, monitoring, and performance optimization.
  • Support model troubleshooting, drift detection, observability, and continuous improvement.

Skills

Python
AI/ML development
TensorFlow/PyTorch
Generative AI/NLP
RAG
Embeddings/Vector DBs
Prompt engineering
APIs/Microservices
CI/CD/ML Ops
Model monitoring/versioning

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Plano, TX is seeking an experienced AI/ML Engineer to develop and deploy scalable AI/ML models and enterprise-ready RAG applications. You will transform business requirements into production-ready solutions and collaborate with cross-functional teams.

The role emphasizes hands-on Python, ML/DL, and Generative AI expertise, with responsibilities spanning model training, evaluation, deployment, and monitoring in a modern CI/CD environment.

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