Staff Back end Engineer L6
Core
Design and develop large-scale distributed backend services and multi-agent systems using LLMs and multimodal models.
Role type
Staff Back end Engineer (GenAI/Multi-agent systems)
Builds
Long-running hosted agents, sandbox execution environments, layered context management, persistent storage, and function-calling orchestration.
Domain
Generative AI, Large Language Models, Distributed Systems
Deliverable
production ML models
Required skills
Java or Python, asynchronous processing, concurrency, idempotency, rate limiting, large-model architecture, attention mechanisms, MoE, model serving, multi-agent system design, RAG systems, agent-development frameworks (LangChain, LangGraph, Deerflow, Claude Code, Hermes), software architecture, design patterns
Preferred skills
Self-harness experience, open-source framework source code understanding, CS/Math/Physics/Electronics background
Technologies
Java, Python, LangChain, LangGraph, Deerflow, Claude Code, Hermes
Responsibilities
Lead architecture and core implementation of LLM- and multimodal-model-based multi-agent systems; Build long-running hosted agents and sandbox execution environments; Deliver complex Agent and RAG systems from solution design through production deployment; Translate advances in memory, long context, planning, tool use, model serving, and self-harness into production systems; Contribute to GenAI video creative, AI operations, ranking improvement, and AI-native SDLC platforms.
