Simpliigence

Data Scientist

• Architect and ship production-grade LLM applications
• Design RAG pipelines that actually work at scale
• Collaborate closely with product and engineering to own problems end-to-end
• Design, build, and deploy AI models, tools, and agents
• Partner with the Head of Data & AI to define the technical architecture
• Implement retrieval augmented generation (RAG) pipelines
• Design and implement Model Context Protocol (MCP) integrations
• Build and maintain MCP servers
• Establish patterns for MCP host/client configuration, access control, and observability
• Implement MLOps and LLMOps practices
• Collaborate with data engineers and platform teams

AI Engineer, Data Scientist