AI/ML Engineer – Generative AI & LLM

Tasks

• Design, train, and deploy ML models for production environments.
• Build LLM-based applications, AI agents, and fine-tuning solutions.
• Develop model evaluation pipelines and performance frameworks.
• Address LLM challenges such as hallucinations, bias, and knowledge limitations.
• Optimize models for accuracy, latency, and scalability.
• Collaborate with engineering and product teams on end-to-end AI product development.

Requirements

• Gc And Usc candidates only
• 1+ years of experience in Machine Learning / Data Science.
• Strong knowledge of Python, ML, and Deep Learning.
• Experience with PyTorch, TensorFlow, Keras, or Scikit-learn.
• Expertise in at least one area: Search, Retrieval, Ranking, or Recommendation Systems; Generative AI Product Development; LLM Agents and Agentic AI; LLM Fine-Tuning.
• Experience deploying ML models into production.
• Understanding of LLM evaluation, hallucination mitigation, and model optimization.
• Startup experience or involvement in 0-to-1 product development is preferred.
• MIT, UC Berkeley, Stanford, Santa Clara University, Harvey Mudd College, California State University, and San Francisco University.

Schedule

• Full-Time ( W2 Only )

How to apply

• Share your updated resume by email.

Location

• Bay Area, CA