Agentic AI Engineer

Quantum Technologies LLC; Sunnyvale (CA); On-site; USD 80,000 - 107,000; Full time

Job summary

Quantum Technologies. LLC is seeking an Agentic AI Engineer to design and implement behavioral logic for autonomous AI agents in Sunnyvale, CA.

You will develop evaluation metrics and experiment with LLM tuning, RLHF, and related techniques to improve agent performance. You will collaborate with researchers and engineers to advance our AI platform, integrate Gemini/Vertex tools, and stay current with the latest AI advancements in agentic systems.

Qualifications

• Master's or Ph.D. in Computer Science, Machine Learning, AI, or related field.
• Strong foundation in AI/ML/deep learning principles.
• Proven experience in designing software systems for AI agents or robotics.

Responsibilities

• Design, develop, and implement behavioral logic for autonomous AI agents.
• Develop evaluation metrics and testing frameworks for agent performance.
• Analyze LLM performance and identify improvements for agentic tasks.
• Apply LLM tuning techniques (fine-tuning, prompt engineering, RLHF).
• Collaborate with researchers and engineers on new AI approaches.
• Contribute to AI platform and infrastructure to deploy scalable agents.
• Stay updated on advances in AI and agentic systems.
• Document design specs, implementations, and experiments.

Skills

Python programming

LLM knowledge

RLHF experience

Agent design

Communication skills

Education

Master's or Ph.D. in Computer Science / ML / AI

Tools

Hugging Face Transformers

PyTorch

TensorFlow

Vertex AI

Google Gemini Vertex tool set

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Agentic AI Engineer

Location: Sunnyvale , CA

Duration: 8 Months

Bill Rate: $68/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• 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 ability 1 to effectively convey technical concepts to both technical and non-technical 2 audiences.

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

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.