Staff ML Engineer — LLM/RAG Systems
Il y a 3 mois
AnyMartinRieux, Hauts-de-France
Valoris Fusion
Télétravail
Temps plein
130 000 $US - 175 000 $US Contrat
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Home/Careers/Staff ML Engineer — LLM/RAG Systems
AI Practice
Staff ML Engineer — LLM/RAG Systems
Remote
• Any timezone Full-time $130,000 – $175,000 / yr Apply now Email your application
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 What 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. Flexible PTO Unlimited PTO. We mean it. Cutting-edge projects A growing client base across six countries — real impact. Ready to apply? Tell us about yourself and we’ll get back to you within a few business days to schedule an interview. Apply now Email your application
• Any timezone Full-time $130,000 – $175,000 / yr Apply now Email your application
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 What 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. Flexible PTO Unlimited PTO. We mean it. Cutting-edge projects A growing client base across six countries — real impact. Ready to apply? Tell us about yourself and we’ll get back to you within a few business days to schedule an interview. Apply now Email your application