Senior AI/ML Engineer - Scalable LLM Pipelines

HopHR; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

HopHR is building its Silicon Valley engineering team in San Francisco and seeks a skilled AI/ML Engineer. This role focuses on developing production-grade AI systems and involves significant responsibilities in building LLM pipelines and optimizing RAG architectures. The ideal candidate should have a BS/MS in Computer Science and 3–5 years of relevant experience, with strong skills in Python and tools like PyTorch, Docker, and AWS/GCP. This position offers a hybrid work arrangement, requiring a minimum of three days in the office each week.

Qualifications

• 3–5 years of AI/ML engineering experience.
• Minimum 2 years building LLM-powered systems in production.
• Portfolio of shipped AI work required.

Responsibilities

• Build and maintain production-grade LLM pipelines.
• Design RAG architectures using vector databases at scale.
• Integrate AI features into large-scale data pipelines.

Skills

AI/ML engineering

Python

PyTorch

Hugging Face Transformers

Docker

Kubernetes

Education

BS/MS in Computer Science or related field

Tools

AWS

GCP

Pinecone

FAISS

Weaviate

Job description

HopHR is building its Silicon Valley engineering team in San Francisco and seeks a skilled AI/ML Engineer. This role focuses on developing production-grade AI systems and involves significant responsibilities in building LLM pipelines and optimizing RAG architectures. The ideal candidate should have a BS/MS in Computer Science and 3–5 years of relevant experience, with strong skills in Python and tools like PyTorch, Docker, and AWS/GCP. This position offers a hybrid work arrangement, requiring a minimum of three days in the office each week.