Senior AI / Machine Learning Engineer – Enterprise & On-Prem Systems
Core
Designing and deploying production-ready AI/LLM systems for regulated enterprise environments, focusing on robust, auditable architectures rather than generic chatbots.
Role type
Senior AI / Machine Learning Engineer (Enterprise & On-Prem Systems)
Builds
Scalable, secure, and traceable AI architectures for complex customer environments
Domain
Enterprise AI, On-Premise deployments, Regulated sectors
Deliverable
production ML models
Required skills
End-to-End AI system architecture design, RAG pipeline construction, Model and inference strategy definition for On-Prem GPU environments, Structured and auditable AI workflow conception, Reproducibility and observability assurance, LLM and NLP engineering expertise, Production-ready AI/LLM system development
Preferred skills
None stated
Technologies
LLMs, RAG, On-Prem GPU environments
Responsibilities
Design end-to-end AI system architectures (LLM-based and classical ML), Build production-ready RAG pipelines, Define model and inference strategies for on-prem GPU environments, Conceive structured and auditable AI workflows, Ensure reproducibility, observability, and traceability of AI outputs
Seniority
Senior, hands-on IC
