Principal Software AI/ML Developer

Oracle Corporation; United States; Remote; USD 130,000 - 160,000; Full time

Job summary

A leading technology firm based in the United States is seeking a Remote Principal Software AI/ML Developer. The ideal candidate will have over 5 years of experience in software and AI development, specializing in large language models. Responsibilities include architecting scalable applications, optimizing ML models, and leading data acquisition efforts. The position requires proficiency in Python and experience with enterprise cloud ecosystems, ensuring a depth of knowledge in NLP practices.

Qualifications

• 5+ years in software/AI development, with 3+ years focused on LLMs or related 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 open-source LLMs.
• Experience integrating AI into enterprise cloud ecosystems.
• Deep understanding of NLP and conversational systems.

Responsibilities

• Architect and implement scalable applications using large language models (LLMs).
• Design, train, and optimize machine learning models.
• Lead data acquisition and feature engineering efforts.

Skills

Software/AI development

Large Language Models (LLMs)

Proficiency in Python

Cloud-based data pipelines

MLOps tools

NLP

Job description

A company is looking for a Remote Principal Software AI/ML Developer.

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
• Lead data acquisition and feature engineering efforts, ensuring clear schema definitions and implementing rigorous evaluation processes for AI systems

Required Qualifications

• 5+ years in software/AI development, with 3+ years focused on LLMs or related 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 open-source LLMs, including prompt engineering and deployment strategies
• Experience integrating AI into enterprise cloud ecosystems
• Deep understanding of NLP, conversational systems, and responsible AI practices