A
Responsible AI Engineer (On-Prem LLMs)
Ai Coalition
2 hours ago
Full-time
On-site
Houston, Texas, United States
Texas Integrated Services builds on-prem AI servers for small Texas businesses so they can run LLaMA, Mistral, and similar models on hardware they own. You'll deploy, tune, and support those systems end-to-end.You'll work across model quantization, vector databases (Qdrant), RAG pipelines, and hands-on server hardware setup. The mission is clear: keep customer data out of third-party APIs and in the customer's own infrastructure.Ideal candidate: comfortable in both the GPU stack and in a client's server closet, and principled about what data should and should not leave a customer's building.
Requirements
Strong Linux server + GPU deployment experience
Experience running LLaMA or Mistral in production
Familiarity with Qdrant or similar vector DBs
RAG pipeline design and evaluation
Understanding of HIPAA and attorney-client privilege and why on-prem matters for them
Willingness to travel within Texas for install days
About Texas Integrated Services Stop paying monthly fees to AI companies. Own your AI infrastructure.
Texas Integrated Services builds on-premise AI servers for small Texas businesses using open-source LLMs (LLaMA, Mistral), Qdrant vector databases, and RAG pipelines. The company eliminates recurring AI subscription costs by running everything on client-owned hardware.
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Requirements
Strong Linux server + GPU deployment experience
Experience running LLaMA or Mistral in production
Familiarity with Qdrant or similar vector DBs
RAG pipeline design and evaluation
Understanding of HIPAA and attorney-client privilege and why on-prem matters for them
Willingness to travel within Texas for install days
About Texas Integrated Services Stop paying monthly fees to AI companies. Own your AI infrastructure.
Texas Integrated Services builds on-premise AI servers for small Texas businesses using open-source LLMs (LLaMA, Mistral), Qdrant vector databases, and RAG pipelines. The company eliminates recurring AI subscription costs by running everything on client-owned hardware.
#J-18808-Ljbffr