Senior Machine Learning Engineer
Core
Building next-generation agentic AI systems, LLM-powered agent workflows, and retrieval-augmented generation pipelines to augment contact center agents and deliver real-time intelligence.
Role type
Senior Machine Learning Engineer (Agentic AI & LLM Systems)
Builds
Production-grade agentic AI systems, multi-step agent workflows, and RAG pipelines for enterprise contact centers.
Domain
Generative AI, Conversational AI, Customer Experience
Deliverable
production ML models
Required skills
LLMs, Retrieval-Augmented Generation (RAG), Transformer architectures, Embeddings, Multi-agent orchestration, Evaluation frameworks for non-deterministic systems, Distributed/cloud infrastructure
Preferred skills
Agentic AI systems, Multi-step LLM workflows, Real-time system optimization
Technologies
PyTorch, TensorFlow, Hugging Face
Responsibilities
Lead design and development of AI Agents and Agentic Assist systems; Architect intelligent, multi-step agent workflows; Design, deploy, and optimize LLM-powered systems including RAG pipelines; Improve reasoning, planning, and tool-use capabilities; Develop evaluation strategies for complex systems; Diagnose and mitigate failure modes like hallucinations and retrieval errors; Define and measure quality metrics; Optimize AI systems for scalability, latency, and cost; Collaborate cross-functionally to integrate AI capabilities; Mentor engineers and contribute to technical strategy.
Seniority
Senior, hands-on IC with technical leadership
