Principal Engineer Agent Infrastructure Memory Architecture

Framework Ventures; United States; Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Competitive total compensation package

L&D programs and Education subsidy

Various team building programs

Wellness and meal allowances

Comprehensive healthcare schemes

Job summary

A tech-focused venture capital firm is seeking an AI Infrastructure Engineer to design and build foundational systems that power next-generation AI agents. This role involves architecting long-term memory infrastructure, creating scalable knowledge graph pipelines, and transforming advanced research into production-grade systems. The ideal candidate holds a PhD or Master's in a relevant field, has 10+ years of experience, and deep expertise in areas such as long-term memory or knowledge graphs. Competitive compensation and benefits are offered.

Qualifications

• At least 10 years of industry experience.
• Deep expertise in long-term memory, knowledge graphs, or context management.

Responsibilities

• Architect and implement long-term memory infrastructure for AI agents.
• Design end-to-end GraphRAG and knowledge graph pipelines.
• Build scalable context management infrastructure.

Skills

long-term memory

knowledge graphs

context management

Education

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

Job description

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 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

Perks & Benefits

• 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!