AI/ML Engineer

Job Description

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.