Job openings for - AI/ML Engineer - Agentic Behaviour & LLM Tuning - Charlotte, NC/ Iselin NJ

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Dharshini

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Jun 19, 2026, 2:48:05 PM (4 days ago) Jun 19
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Hello, 
Hope you are doing well,


Position : AI/ML Engineer - Agentic Behaviour & LLM Tuning
Type       : Contract
Location: Charlotte, NC/ Iselin NJ

Job Description
Responsibilities:
• Design, develop, and implement the behavioral logic and decision-making frameworks for autonomous AI agents.
• Develop and maintain robust evaluation metrics and testing frameworks to assess agent performance and behavior.
• Conduct in-depth analysis of LLM performance and identify areas for improvement within the context of agentic tasks.
• Implement various LLM tuning techniques, including fine-tuning, prompt engineering, reinforcement learning from human feedback (RLHF), and other advanced methodologies.
• Collaborate with research scientists and other engineers to explore novel approaches in agentic AI and LLM applications.
• Contribute to the development of our AI platform and infrastructure to support the deployment and scaling of intelligent agents.
• Stay up-to-date with the latest advancements in AI, machine learning, and specifically in the areas of agentic systems and large language models.
• Document design specifications, implementation details, and experimental results.

Qualifications:
• Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong foundation in the principles of artificial intelligence, machine learning, and deep learning.
• Proven experience in designing and implementing complex software systems, preferably in the context of AI agents or robotics. Good to have – experience in building Agents using Google Gemini Vertex tool set
• Hands-on experience with large language models (LLMs) and their application to various tasks. Preference for Gemini LLMs
• Experience with LLM tuning techniques and frameworks (e.g., Hugging Face Transformers, PyTorch, TensorFlow, Vertex AI).
• Solid understanding of reinforcement learning principles and experience applying them to real-world problems (experience with RLHF is a plus).
• Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration skills, with the ability1to effectively convey technical concepts to both technical and non-technical2audiences.

Bonus Points:
• Experience with cognitive architectures or symbolic AI approaches.
• Familiarity with simulation environments for training and evaluating AI agents.
• Contributions to open-source AI/ML projects.
• Publications in relevant AI/ML conferences or journals.

Thanks & Regards,
🌸 Dharshini Murugan
Technical Recruiter
🏢 VY Systems Inc 
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