Hop

AI/ML Engineer

San Francisco, California · Hybrid · Posted 5 months ago

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Salary
Not listed
Job type
Full-time
Work mode
Hybrid
Source
Lever (employer's hiring system)

Skills mentioned

RAG, Python, PyTorch, Machine Learning, LLM, AWS, GCP, Kubernetes

About the role

Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.


We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.


Location: San Francisco, SoMa — minimum 4 days per week in-office.


What you'll do


• Build and maintain production-grade LLM pipelines and agentic workflows.

• Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale.

• Implement agentic systems using LangGraph, LlamaIndex, or equivalent: tool use, multi-agent coordination, and reasoning loops.

• Own prompt engineering, model versioning, evaluation (RAGAS, DeepEval), and LLMOps instrumentation.

• Integrate AI features into large-scale data pipelines; maintain observability and guardrails in production.


What we require


• BS/MS in Computer Science, Machine Learning, or related field.

• 3–5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production.

• Strong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes.

• Portfolio of shipped AI work required — agentic pipelines, RAG systems, or fine-tuned models.

• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.

Job ID lv-hophr-9e92ee57-64d5-493d-8f7d-42ac429ca826 · Original posting ↗