GenAI​/LLM Fine-tuning and Agentic AI Engineer

Generative AI/ LLM Fine-tuning and Agentic AI Engineer

USA – Remote

Full time (W2 only)

• LLM Customization:Design, execute, and manage the
  fine-tuning
  of Large Language Models (LLMs) for specific enterprise tasks and domain-specific knowledge.
• Agentic System Development:Architect, develop, and integrate
  Agentic AI
  systems and complex
  Multi-Agent
  frameworks to solve business problems and automate workflows.
• Platform Implementation:Utilize
  Python
  and leverage ML/DL and
  Data Science
  principles to build, test, and deploy GenAI solutions on cloud platforms, primarily
  AWS
  .
• Data Pipeline Integration:Apply
  Data Engineering
  skills to ensure high-quality data collection, transformation, and management to support model training and fine-tuning processes.
• Project Execution:Collaborate within an
  Agile/Scrum
  environment, applying
  Analytical
  and
  Creative Thinking
  to rapidly iterate on prototypes and deliver production-ready AI capabilities.
• Collaboration & Reporting:Communicate technical findings, progress, and recommendations clearly to both technical and non-technical stakeholders.

• Proven, solid experience in Generative AI (GenAI) implementation.
• Direct experience with
  LLM fine-tuning
  techniques and frameworks.
• Demonstrated ability to develop and deploy
  Agentic AI
  and
  Multi-Agent
  systems.
• Strong foundational knowledge of
  Machine Learning
  and
  Deep Learning
  algorithms and practices.
• Familiarity with cloud services, particularly
  AWS
  .
• Experience in
  Data Engineering
  or robust data pipeline development for ML applications.
• Comfortable operating within an
  Agile/Scrum
  development methodology.
• Exceptional
  Communication skills
  and a strong mindset for
  Analytical
  and
  Creative problem-solving
  .

We are an Equal Opportunity Employer. We value diversity and are committed to building an inclusive work environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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