AI/ML Engineer
Draup, Inc.
San Francisco, CA, United States
7 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Python (Programming Language)
Machine Learning
Pytorch
Retrieval-Augmented Generation
Large Language Models
Kubernetes
Information Technology
HuggingFace
Docker
Requirements
- 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.
About the company
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.
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Prepare application
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