AI Engineer

Lateral Space; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Lateral Space is seeking an engineer to design and deploy an organization-wide knowledge system that blends memory, relationships, and processing workflows. You will build production-grade AI agents that use this knowledge to support real-world workflows.

The role involves architecting a hybrid memory graph, creating a repeatable review cycle for data, and delivering scalable AI agents with LangGraph and MCP.

Qualifications

• 3–6 years of relevant experience in AI or knowledge systems.
• Senior-level Python development skills.
• Experience designing and scaling retrieval-augmented generation systems.

Responsibilities

• Architect and implement a knowledge system with hybrid memory and a knowledge graph.
• Develop the system’s recurring 'dream cycle' for organizing stored information.
• Build and maintain production-grade AI agents using LangGraph and MCP.
• Apply retrieval-augmented generation to large-scale knowledge and agent use cases.

Skills

Python

3-6 years exp

Knowledge systems design

Retrieval-augmented generation

AI agents

Tools

LangGraph

MCP

Job description

Role overview

Design and deploy an organization-wide knowledge system that combines memory, structured relationships, and recurring information processing. Build production-ready AI agents that use this knowledge to support practical workflows.

Responsibilities

• Architect and implement a knowledge system combining hybrid memory and a knowledge graph.
• Develop the system’s recurring \"dream cycle\" for reviewing and organizing stored information.
• Build, deploy, and maintain production-grade agents using frameworks and protocols such as LangGraph and MCP.
• Apply retrieval-augmented generation to large-scale knowledge and agent use cases.

Requirements

• 3-6 years of relevant experience.
• Senior-level Python development skills.
• Experience designing and scaling retrieval-augmented generation systems.
• Ability to deliver AI agents and knowledge infrastructure for production use.

Nice to have

• Practical experience with LangGraph, MCP, hybrid memory systems, or knowledge graphs.