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See allWhat You'll Build:
- RAG pipelines using Milvus, Weaviate, Pinecone, or Zilliz
- Custom LLM deployments with fine-tuning, inference routing, and token optimization
- Tool-calling and agent flows supporting complex, multi-step decisions
Core Responsibilities:
- Design and optimize production-grade RAG systems
- Build ranking, scoring, and routing models for live inference
- Architect tool-calling flows, agent memory, and multi-turn reasoning
You Should Have:
- Expert-level Python for backend, ML workflows, and orchestration
- Experience with modern LLM frameworks such as LangChain or LangGraph
- Deep knowledge of vector databases and retrieval systems
Raynmaker Inc
Raynmaker is building RaynBrain, an agentic AI platform for complex conversations grounded in machine learning, neuroscience, and forensic linguistics. They empower autonomous systems that interpret, adapt, and act in real time, turning raw leads into revenue without scripts or human handoffs. Raynmaker is a small team helping other small teams move faster and convert more leads.