The Role
Develop and maintain LLM pipelines, design RAG architectures, implement agentic systems, and integrate AI features into data pipelines.
Summary Generated by Built In
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.
Skills Required
- BS/MS in Computer Science, Machine Learning, or related field
- 3-5 years of AI/ML engineering; minimum 2 years building LLM-powered systems
- Strong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes
- Portfolio of shipped AI work required
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The Company
What We Do
HopHR is a recruitment platform that uses AI-driven technology to connect companies with top-tier data science, machine learning, and AI professionals, particularly from Latin America. Founded in 2016, the company focuses on simplifying the hiring process through a combination of human-segmented talent databases and matching algorithms, aiming to break geographic barriers and promote diversity in tech hiring for clients ranging from startups to Fortune 500 enterprises.
