Ai Engineer Llm Agent Development

Build LLM-powered applications and AI agents at PureFacts, using Python, RAG pipelines, and agent orchestration for intelligent financial software.The AI Engineer will own PureFacts’ conversational layer for explaining machine learning outputs to users. You will develop the Revenue Assistant from research through prototype, while designing context architecture grounded in client-specific pricing data. The work spans machine learning, software engineering, product, and responsible AI.Key Responsibilities:
Design LLM applications and agents for internal and client useDevelop the Revenue Assistant from research through prototypeImplement prompt engineering, tools, and agent orchestration frameworksIntegrate LLMs into PureFacts SaaS and data systemsBuild evaluation frameworks and deterministic safety guardrailsRequirements:
Two-plus years building production customer-facing LLM applicationsSix to eight-plus years of backend software engineering experienceExpert-level Python and production RAG experienceExperience with vector databases, embeddings, and semantic searchDegree in computer science, engineering, data science, or related fieldApply AI engineering, Python, RAG, and agent orchestration expertise to PureFacts’ Revenue Assistant and intelligent platform.
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