Staff Machine Learning Engineer
Core
Architect and scale next-generation agentic AI systems, LLM pipelines, and multi-agent orchestration frameworks to drive revenue and efficiency in customer experiences.
Role type
Staff Machine Learning Engineer (Agentic AI & LLM Systems)
Builds
Production-grade agentic AI systems, RAG pipelines, and multi-agent orchestration frameworks for enterprise contact centers.
Domain
AI / Customer Experience / Conversational AI
Deliverable
production ML models
Required skills
LLMs at scale, agentic AI systems, multi-agent orchestration, RAG pipelines, evaluation frameworks for non-deterministic systems, transformer-based models, distributed/cloud infrastructure, PyTorch, TensorFlow, Hugging Face
Preferred skills
Ph.D. in CS/Math, leadership in complex AI system architecture, rapid prototyping, cross-team technical influence
Technologies
PyTorch, TensorFlow, Hugging Face
Responsibilities
Define technical vision for Agentic AI systems; Architect scalable LLM systems integrating reasoning, retrieval, and tool use; Design multi-agent orchestration frameworks; Establish best practices for robust, cost-efficient LLM systems; Own evaluation strategy including offline benchmarking and LLM-as-a-judge; Mitigate agent failure modes like hallucinations and context drift; Mentor senior engineers and contribute to AI strategy.
Seniority
Staff, hands-on IC with strategic influence