Advisory AI Engineer

What you'll do

• Design and ship agentic LLM pipelines and build frameworks to evaluate reliability and safety.
• Build and maintain RAG systems, vector stores, and external tool integrations; deploy and scale agent systems in production.
• Lead collaboration with AI engineers, ML scientists, and product managers to bring pipelines into production.

What they ask for

• 6 years of industry experience in ML or applied AI with hands-on LLM experience.
• Bachelor’s degree in computer science, applied math, physics, or a related field.
• Experience with NLP, agentic frameworks and tool-use patterns, RAG architecture, embeddings, and LLM evaluation.
• Fluency in Python and modern ML tools; strong software engineering fundamentals, Git and CI/CD, and experience deploying models with Docker and Kubernetes.

Nice to have

• Master’s or PhD; experience with computer vision.
• Experience with Agile frameworks or Rust.

Pay

168,100–257,715 USD annual compensation range (base salary)

Tools

Python, PyTorch, Hugging Face, vLLM, LangGraph, AutoGen, CrewAI, Docker

AI focus

Builds agentic LLM pipelines with reasoning, tool use, reflection, planning, and memory; develops RAG systems and evaluation frameworks, and deploys agent systems in production.