AI R&D Engineer: LLMs, RAG & Human-Centered AI

Nova Southeastern University

Clearwater, Northern (FL, KY)

Hybrid

USD 34,000 - 83,000

Full time

14 days+
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Job summary

Nova Southwestern University seeks a researcher to design and develop cutting-edge artificial intelligence (AI) human-centered solutions, collaborating with interdisciplinary teams to shape AI strategy, literacy, and deployment with a focus on LLM training, fine-tuning, ML, customization, and evaluation.

The role covers research, model development, RAG pipelines, evaluation against benchmarks, ethical AI practices, and communicating results through reports and presentations.

Qualifications

  • Bachelor's degree in a related field.
  • Experience with AI/ML frameworks and NLP.
  • Strong programming skills in Python or R.

Responsibilities

  • Research, build, train, and deploy ML models, including LLMs.
  • Design custom workflows (RAG pipelines).
  • Test and evaluate model quality using benchmarks and human feedback.
  • Collaborate with interdisciplinary team to create human-centered AI solutions.
  • Ensure ethical and responsible use of AI technologies.
  • Conduct experiments and analyze results to improve AI models.
  • Stay updated with AI research and trends.
  • Contribute to AI system design and architecture.
  • Optimize AI models for performance and scalability.
  • Prepare technical reports and presentations of findings.
  • Stay ahead of industry trends and technologies in AI development.

Skills

Python
R
Data analysis
Deep learning
NLP
RAG
Teamwork

Education

Bachelor's Degree

Tools

TensorFlow
PyTorch
Hugging Face

Job description

Nova Southwestern University seeks a researcher to design and develop cutting-edge artificial intelligence (AI) human-centered solutions, collaborating with interdisciplinary teams to shape AI strategy, literacy, and deployment with a focus on LLM training, fine-tuning, ML, customization, and evaluation.

The role covers research, model development, RAG pipelines, evaluation against benchmarks, ethical AI practices, and communicating results through reports and presentations.

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