K
6mo ago
San Francisco, California, United States· Full-time
$200K – $375K/yr
● Strong current hiring demand for this role
AWSGCPDockerKubernetes
H
Market pay estimate
$212,444–$299,900 / year for comparable Machine Learning Engineer roles in San Francisco. Estimated from 69 similar postings (high confidence) — not stated by the employer.
Role overview
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.
More like this
About this listing
- Source: Hop's official careers site · still listed there on 12 Nov 2026
- Posted 22 Apr 2026
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Role market pulse
How Machine Learning Engineer demand looks in United States
Live jobs
414
Posted 30d
309
30d movement
+530.6%
Remote share
28.7%
Salary listed
84.5%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
What you'll do • Build and maintain production-grade LLM pipelines and agentic workflows; 3–5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production
Department · Engineering
Hiring company
Hop
Construction
View the company profile, current openings and hiring details.
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