Principal Engineer Agent Infrastructure Memory Architecture
Listed on 2026-06-07
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Software Development
AI Engineer
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, Graph
RAG, agent memory architectures) into auditable, maintainable, and production‑grade infrastructure that enables reliable, stateful AI systems.
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 Graph
RAG 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.
PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least 10 years of industry experience.
Possess a deep expertise in at least one of the following areas: long‑term memory, knowledge graphs, or context management.
Nice to Haves- Experience in top‑tier AI labs or Tech industry leaders
- Experience in high‑frequency trading, fintech, Web3, or crypto platforms is a strong advantage
- Startups or research‑intensive environments preferred; must be comfortable operating with ambiguity and speed
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
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