AI/ML Engineer
- California
- onsite
- Full time
Posted
Free to apply. You’ll finish on the employer’s own site.
Skills mentioned
- ETL
- Machine Learning
- Python
- PyTorch
- AWS
- Google Cloud
+2 more
- Docker
- Kubernetes
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.
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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