Time since we first saw it
Day 204
Up longer than most. Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
AI/ML Engineer
Reads like an AI Engineer role: building products on existing AI models.
San Francisco, CA
Open 6 months, first seen by us 204 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
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
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full- Time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work in the US
Must be authorized to work in the US without current or future employer sponsorship
What you’ll work on
Full postingBuild and maintain production-grade LLM pipelines and agentic workflows
Design and optimize RAG architectures on vector databases at scale
Implement agentic systems with tool use, multi-agent coordination and reasoning loops
Own prompt engineering, model versioning, evaluation and LLMOps instrumentation
Integrate AI features into large-scale data pipelines with observability and guardrails
From the employer’s posting
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.
Posting record
Report an errorOpen 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 23, 2026204 days ago
- Recorded sightings
- 118
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Hophr is hiring
4 open jobs
- No new data jobs since May
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Docker
- GCP
- Kubernetes
- Hugging Face
- PyTorch
- Transformers
Where the posting names them
• 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.
Your next step
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Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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.
Employment type
Full- Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
• 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. Employment type