Remote GenAI Engineer: LLM Fine-Tuning & Agentic AI

Sesheng, LLC

United States

Remote

USD 110,000 - 150,000

Full time

14 days+
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Job summary

A leading tech firm seeks a Generative AI/LLM Fine-tuning and Agentic AI Engineer to design and execute LLM fine-tuning for enterprise tasks. The role involves developing Agentic AI systems and leveraging Python, ML, and data engineering principles to deploy solutions on AWS. Ideal candidates will have proven experience in Generative AI and strong communication skills, working in an Agile environment. This role is fully remote and open to diverse applicants.

Qualifications

  • Proven experience in Generative AI implementation.
  • Direct experience with LLM fine-tuning techniques and frameworks.
  • Ability to develop and deploy Agentic AI systems.
  • Strong knowledge of Machine Learning and Deep Learning practices.
  • Familiarity with AWS cloud services.
  • Experience in Data Engineering or data pipeline development.
  • Comfortable working in an Agile/Scrum environment.
  • Exceptional communication skills.

Responsibilities

  • Design, manage, and execute the fine-tuning of Large Language Models.
  • Architect and integrate Agentic AI systems and Multi-Agent frameworks.
  • Utilize Python and ML principles to deploy GenAI solutions on cloud platforms.
  • Apply Data Engineering skills for high-quality data management.
  • Collaborate in an Agile/Scrum environment for rapid prototyping.
  • Communicate technical findings clearly to various stakeholders.

Skills

Generative AI implementation
LLM fine-tuning techniques
Agentic AI development
Machine Learning
Deep Learning
Data Engineering
Agile/Scrum methodology
Analytical problem-solving
Creative problem-solving
Communication skills

Tools

Python
AWS

Job description

A leading tech firm seeks a Generative AI/LLM Fine-tuning and Agentic AI Engineer to design and execute LLM fine-tuning for enterprise tasks. The role involves developing Agentic AI systems and leveraging Python, ML, and data engineering principles to deploy solutions on AWS. Ideal candidates will have proven experience in Generative AI and strong communication skills, working in an Agile environment. This role is fully remote and open to diverse applicants.
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