Principal Engineer, Agent Infrastructure & Memory Architecture

Amit érdemes tudni

• Irodai · Ismeretlen
• Nincs elég földrajzi bizonyíték a magyarországi jogosultsághoz.
• Szint: Lead
• Fizetés: nem közölt

Helyszín és jogosultság

Nincs elég földrajzi bizonyíték a magyarországi jogosultsághoz.

APAC

Megbízhatóság: 34%. A végső döntés a munkáltatóé – mindig olvasd el az eredeti hirdetést.

Pozíció

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

We are seeking an AI Infrastructure Engineer to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable long-term memory, knowledge graph infrastructure, and robust context management systems.

You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems.

What You’ll Be Doing

Architect and implement long-term memory infrastructure for AI agents, including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning.

Design and own end-to-end GraphRAG and knowledge graph pipelines, from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems.

Build scalable context management infrastructure, elevating context from prompt-level techniques to structured, maintainable systems such as Context Graphs that enable long-horizon and cross-session reasoning.

Translate advanced agent research into production-grade systems, prototyping emerging architectures and establishing best practices for memory, retrieval, and infrastructure reliability.

Ensure reliability, observability, and governance of agent infrastructure, including traceable memory operations, evaluation frameworks, and safeguards against drift and degradation.

What We Look For In You

PhD or Master's in Computer Science, AI, Machine Learning, Robotics or re

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