GenAI/LLM Fine-tuning and Agentic AI Engineer

Sesheng, LLC; United States; Remote; USD 110,000 - 150,000; Full time

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

Generative AI/ LLM Fine-tuning and Agentic AI Engineer

USA – Remote

Full time (W2 only)

Key Responsibilities

• LLM Customization:Design, execute, and manage thefine-tuningof Large Language Models (LLMs) for specific enterprise tasks and domain-specific knowledge.
• Agentic System Development:Architect, develop, and integrateAgentic AIsystems and complexMulti-Agentframeworks to solve business problems and automate workflows.
• Platform Implementation:UtilizePythonand leverage ML/DL andData Scienceprinciples to build, test, and deploy GenAI solutions on cloud platforms, primarilyAWS.
• Data Pipeline Integration:ApplyData Engineeringskills to ensure high-quality data collection, transformation, and management to support model training and fine-tuning processes.
• Project Execution:Collaborate within anAgile/Scrumenvironment, applyingAnalyticalandCreative Thinkingto 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.

Required Qualifications

• Proven, solid experience in Generative AI (GenAI) implementation.
• Direct experience withLLM fine-tuningtechniques and frameworks.
• Demonstrated ability to develop and deployAgentic AIandMulti-Agentsystems.
• Strong foundational knowledge ofMachine LearningandDeep Learningalgorithms and practices.
• Familiarity with cloud services, particularlyAWS.
• Experience inData Engineeringor robust data pipeline development for ML applications.
• Comfortable operating within anAgile/Scrumdevelopment methodology.
• ExceptionalCommunication skillsand a strong mindset forAnalyticalandCreative 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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