Senior Machine Learning Engineer
Core
Architecting high-performance runtime systems for fleets of AI Agents to Perceive, Reason, and Act, bridging offline model capabilities with real-world task execution.
Role type
Senior IC machine learning engineer (agentic systems & multi-agent coordination)
Builds
Autonomous agentic workflows, advanced memory structures, self-improving loops, and enterprise guardrails for AI agents
Domain
Enterprise customer experience (CX) + Agentic AI / Large Language Models
Deliverable
production ML models
Required skills
Transformer architectures, agentic frameworks, multi-agent coordination, memory system design, trajectory analysis, self-improving loop architecture, content safety engineering, governance-centric architectures, agentic evaluation frameworks
Preferred skills
N/A
Technologies
Python, PyTorch, LangChain, LangGraph
Responsibilities
Optimize agentic workflows for elite-level autonomous problem solving; design sophisticated memory systems for dynamic context filtering; analyze agent trajectories to detect anomalies and halt hallucination loops; architect scalable self-improving loops for autonomous skill discovery; engineer multi-layered defenses against tool misuse and prompt injections; implement supervisor patterns to regulate agent actions and enforce compliance; build continuous multi-turn evaluation frameworks for emergent multi-agent coordination
Seniority
Senior, hands-on IC