GenAI/LLM Fine-tuning and Agentic AI Engineer

Talantir; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Remote work

Job summary

Talantir, United States (Remote), is seeking an experienced GenAI engineer to design, fine-tune, and optimize large language models for enterprise tasks across industries. You will translate business problems into AI capabilities, select data strategies, and validate model performance while collaborating with product and data teams.

The role emphasizes building agentic AI systems, integrating multi-agent frameworks, deploying GenAI solutions on AWS, engineering robust data pipelines, and working

Qualifications

• Proven experience in Generative AI (GenAI) projects.
• Direct experience with LLM fine-tuning techniques and frameworks.
• Demonstrated ability to develop and deploy Agentic AI and Multi-Agent systems.
• Strong Python proficiency and ML/DL fundamentals.
• Familiarity with AWS and data pipelines for ML.

Responsibilities

• LLM Customization: Design, execute, and manage the fine-tuning of Large Language Models (LLMs) for enterprise tasks.
• Agentic System Development: Architect, develop, and integrate Agentic AI systems and Multi-Agent frameworks.
• Platform Implementation: Build, test, and deploy GenAI solutions on AWS using Python and ML/DL principles.
• Data Pipeline Integration: Develop robust data pipelines to support model training and fine-tuning.
• Project Execution: Work in an Agile/Scrum environment to rapidly iterate on prototypes for production-ready AI capabilities.
• Collaboration & Reporting: Communicate technical findings and progress clearly to both technical and non-technical stakeholders.

Skills

GenAI

LLM fine-tuning

Agentic AI

Python

ML/DL fundamentals

AWS

Data pipelines

Agile/Scrum

Communication

Tools

AWS

Job description

USA – Remote

Full time (W2 only)

Key Responsibilities

• 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.

Required Qualifications

• 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.
• Expert-level proficiency in Python.
• 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.