AI/ML Engineer

@ Hop
Hophop.com

AI/ML Engineer

Posted 3 months ago

This job is still taking applications, but it's been up a while.

About the job

Draup is an AI company with Fortune 10 clients, building intelligent systems for enterprise decision-making. The role focuses on AI research, system development, and product optimization in a small, senior team based in San Francisco.

Requirements

  • 3-5 years AI/ML engineering
  • Building LLM systems
  • Strong Python skills
  • Experience with Docker/Kubernetes
  • Shipped AI work portfolio

Qualifications

  • BS/MS in CS or related
  • Authorized to work in US
  • Experience with vector databases
  • Knowledge of prompt engineering

Full job description

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.

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