6 months ago
San Francisco, CA, USAMid Level / Senior
Responsibilities
- Build and maintain production-grade LLM pipelines and agentic workflows.
- Design and optimize scalable RAG architectures using Pinecone, FAISS, and Weaviate.
- Implement agentic systems with tool use, multi-agent coordination, and reasoning loops using LangGraph, LlamaIndex, or equivalent technologies.
- Own prompt engineering, model versioning, evaluation, and LLMOps instrumentation.
- Integrate AI features into large-scale data pipelines and maintain production observability and guardrails.
Requirements
- BS or MS in Computer Science, Machine Learning, or a related field.
- 3–5 years of AI/ML engineering experience, including at least 2 years building LLM-powered systems shipped to production.
- Strong Python skills and experience with PyTorch or Hugging Face Transformers.
- Experience with AWS or GCP and Docker/Kubernetes.
- A required portfolio of shipped AI work, such as agentic pipelines, RAG systems, or fine-tuned models.
- Must be authorized to work in the US without current or future employer sponsorship.
Tech Stack
Categories
About Hop
Hop is a privately held staffing marketplace that connects AI, GenAI, and machine-learning talent from Latin America with companies worldwide. It sources, screens, and places data scientists and AI engineers using an in-house assessment platform, and complements recruiting with mentorship and training programs. Founded in 2016 and headquartered in Walnut Creek, California, Hop operates on recruiting and staffing fees for organizations building data and AI products.