Staff ML Engineer — LLM/RAG Systems

AI Practice

Lisez l'aperçu de cette opportunité pour comprendre quelles compétences, y compris les compétences non techniques pertinentes et la maîtrise des logiciels, sont requises.
Staff ML Engineer - LLM/RAG Systems

Remote

• Any timezone Full-time $130,000 - $175,000 / yr

About The Role
What you'll be doing

Join our AI Practice as a Staff ML Engineer building production LLM and retrieval-augmented generation systems for enterprise clients. You'll architect and ship AI agents, document intelligence pipelines, and evaluation frameworks that create measurable business value - not demos that never leave the sandbox.

Day to day
Responsibilities

• 
  
• Architect and build production RAG pipelines, AI agents, and LLM-powered workflows
  
• Design retrieval strategies, chunking approaches, and vector store architectures for scale
  
• Own model evaluation, prompt engineering, and fine-tuning where applicable
  
• Set technical direction for the AI Practice's engineering standards and tooling
  
• Partner with clients on responsible AI practices, bias auditing, and enterprise security requirements
  
• Optimize inference cost, latency, and reliability for production LLM systems
  
• Mentor ML engineers and review architecture proposals across engagements
  

We're looking for
Requirements

• 
  
• 7+ years in ML/software engineering, with 2+ years building production LLM/RAG systems
  
• Deep hands-on experience with LangChain, vector databases (Pinecone or similar), and embedding models
  
• Strong Python engineering skills and experience with frameworks like FastAPI
  
• Track record shipping AI systems that survived contact with real production traffic
  
• Familiarity with responsible AI practices: bias auditing, guardrails, evaluation harnesses
  
• Experience with MLOps tooling (MLflow or equivalent) for tracking and reproducibility
  
• Excellent communication skills for explaining AI system tradeoffs to non-technical stakeholders
  

Why Valoris Fusion
Benefits & perks

• 
  
• Remote-first
  
• Work from anywhere. Async-first culture.
  
• Competitive comp
  
• Market-rate + equity + performance bonus.
  
• Health & wellness
  
• Comprehensive medical, dental, vision.
  
• $3,000 L&D budget
  
• Annual learning & development allowance. xuezdbg
  
• Flexible PTO
  
• Unlimited PTO. We mean it.
  
• Cutting-edge projects
  
• A growing client base across six countries - real impact.