AI/ML Engineer

HopHR

AI/ML Engineer building production-grade LLM pipelines for agentic AI company in San Francisco. Designing RAG architectures and integrating AI features into data pipelines.

Posted 4/23/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSDockerGoogle Cloud PlatformKubernetesPythonPyTorch

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Hybrid: minimum 3 days in-office per week, 2 days flexible.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonPyTorchHugging Face TransformersRAG architecturesprompt engineeringmodel versioningevaluationLLMOpsagentic systemsmulti-agent coordination

Certifications

BS in Computer ScienceMS in Computer ScienceBS in Machine LearningMS in Machine Learning