Agentic AI Engineer: LLMs, RLHF & Autonomous Agents

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

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.