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.

About the company

HopHR connects businesses with data science, machine learning, and AI talent. It serves sectors like aerospace, defense, agriculture, and food production, providing access to a pool of over 100,000 professionals, including more than 35,000 women in tech and 8,000 active candidates. The platform uses AI-powered vetting and on-demand remote talent services to streamline hiring and quickly place the right people in roles. Differentiators include a large, diverse, specialized talent network; AI-driven candidate screening; and a focus on on-demand remote staffing for advanced analytics and AI projects. HopHR’s goal is to help organizations build elite GenAI, data science, and ML teams to advance their industries by making hiring faster, more accurate, and scalable.

Company Size

11-50

Company Stage

Debt Financing

Total Funding

$100K

Headquarters

Walnut Creek, California

Founded

2016

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Simplify's Take

What believers are saying

HopHR’s press room shows active 2026 partnerships, including Opti-Port and PERC.
Site updates in August 2026 signal ongoing product and market activity.
Open roles across San Francisco, New York, and Dallas indicate expanding hiring needs.

What critics are saying

HopHR raised only $100K debt in 2017, limiting balance-sheet resilience.
Competitors like LinkedIn and Toptal compress margins and weaken differentiation by 2026.
If 20-plus open roles reflect demand volatility, client churn can hit revenue quickly.

What makes HopHR unique

Founded 2016, HopHR targets Latin America AI, ML, and data talent.
HopHR offers a 14-day money-back guarantee on vetted hires.
HopHR combines AI sourcing, matching, and outreach for faster candidate engagement.

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Benefits

Remote Work Options

Flexible Work Hours

Paid Vacation

Health Insurance

Mental Health Support

Wellness Program

HopHR

AI/ML Engineer

About the job