Responsibilities:
- Design and ship agentic systems and multi-step LLM workflows using Claude, OpenAI, or equivalent - including tool use, memory, structured output extraction, and failure handling.
- Build and maintain MCP integrations connecting internal tools, portco systems, and external data sources into reliable, observable pipelines.
- Own RAG pipeline architecture - chunking, embedding, retrieval evaluation, and continuous quality improvement against real usage data.
Technical Requirements:
- Agentic systems shipped in production - multi-step LLM workflows with tool use, not just single prompt calls.
- RAG pipeline experience end to end - from chunking strategy through retrieval quality evaluation.
- Strong Python - async patterns, modular code, structured logging, production-grade reliability.
Company Culture:
- A small team that hires slowly and expects a lot.
- Work that ships fast and shows up in real business outcomes, not internal backlogs.
- Direct ownership of AI and automation infrastructure.
Emergence
Emergence is a PE holdco backed by the Pritzker Organization focused on acquiring and scaling B2B SaaS businesses. It combines operational rigor with a growth equity mindset to drive ARR growth and profitability across its portfolio.