Senior AI/ML Engineer building and optimizing pipelines for agentic AI platform. Leading efforts in ML engineering and systems integration for customer interactions.
About the role
- Senior AI/ML Engineer at Raynmaker developing intelligence for complex conversations using machine learning and neuroscience-driven solutions.
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
- Optimize token usage, caching, and cost-performance tradeoffs
- Maintain and enrich vector knowledge bases
- Build real-time and batch pipelines for ingestion, training, and inference
- Deploy and monitor reinforcement learning systems
- Build and maintain ML APIs and microservices using Docker and Kubernetes
- Support streaming interaction layers including voice and WebSockets
- Collaborate cross-functionally on platform-wide architecture and data contracts
Requirements
- 7+ years of experience in ML, AI, or data engineering roles
- 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
- Production experience with reinforcement learning
- Comfort with distributed systems, Docker, and Kubernetes
- Experience building and maintaining streaming or real-time pipelines
- A track record of shipping complex systems that work in production
Job title
Job type
Experience level
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Degree requirement
No Education Requirement
Tech skills
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