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Remote Principal AI Developer

Oracle Corporation

United States

Remote

USD 130,000 - 160,000

Full time

Today
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Job summary

A leading technology company is seeking a Principal AI/ML Developer to design and develop advanced AI applications. The ideal candidate will have over 8 years of experience in software and AI development, particularly with large language models. Responsibilities include architecting scalable applications and managing AI workflows. Strong proficiency in Python, MLOps, and responsible AI practices is essential. This role offers an opportunity to shape the future of AI in enterprise cloud ecosystems.

Qualifications

  • 8+ years in software/AI development, with 3+ years focused on LLMs or deep learning systems.
  • Proficiency in Python (and/or Java), cloud-based data pipelines, and MLOps tools.
  • Hands-on experience with models such as OpenAI or Anthropic and familiarity with prompt engineering.

Responsibilities

  • Architect and implement scalable applications using large language models (LLMs).
  • Design, train, and optimize machine learning models, building end-to-end ML pipelines.
  • Manage versioning for prompts and models, implement observability for workflows.

Skills

Software/AI development
LLMs or deep learning systems
Python
MLOps tools
NLP
Job description

A company is looking for a Principal AI/ML Developer to lead the design and development of advanced AI applications.

Key Responsibilities
  • Architect and implement scalable applications using large language models (LLMs) and develop effective retrieval-augmented generation (RAG) pipelines
  • Design, train, and optimize machine learning models, building end-to-end ML pipelines and monitoring model performance
  • Manage versioning for prompts and models, implement observability for workflows, and ensure responsible AI practices
Required Qualifications
  • 8+ years in software/AI development, with 3+ years focused on LLMs or deep learning systems
  • Proficiency in Python (and/or Java), cloud-based data pipelines, and MLOps tools
  • Hands-on experience with models such as OpenAI or Anthropic and familiarity with prompt engineering
  • Experience integrating AI into enterprise cloud ecosystems
  • Deep understanding of NLP, conversational systems, and responsible AI design principles
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