Intelligence Engineer Intern
LuMATH
About the Role
LuMATH is looking for an Intelligence Engineer to help build Nova, our next-generation intelligence architecture. This role is for someone who knows Python and wants to work on real systems that support reasoning, memory, testing, debugging, code improvement, and AI-assisted development. You will work directly on Nova and use an AI coding agent to help build code, write tests, find bugs, improve structure, and move faster as a developer. We are looking for people who can stay involved for approximately 5 months.
About Nova
Nova is LuMATH’s intelligence system, designed to go beyond a traditional chatbot by focusing on relationships, constraints, consistency, memory, reasoning, and structural understanding. Nova is being built as a modular Python-based architecture that helps organize complex information, support better decisions, test ideas, improve code, and work alongside humans and AI agents.
What You Will Work On
- Python development
- Testing and debugging
- Unit test creation
- Code cleanup and organization
- AI-assisted coding workflows
- Nova system components
- Memory and reasoning systems
- Documentation
- Automation
- Software architecture
- Working with an AI coding agent to build and test code
Requirements & Tech Stack
- At least 1 year of Python experience
- Created at least one working software project, tool, app, automation, script, prototype, or system that did not previously exist
- Ability to write understandable Python code
- Interest in AI systems, intelligent tools, software architecture, automation, or agent-based development
- Willingness to learn quickly and work carefully
- Ability to stay involved for approximately 5 months
Ideal Candidate
- Has already built something real
- Likes difficult problems
- Can think independently
- Enjoys testing and improving systems
- Wants to work with AI coding agents
- Is excited by the idea of helping build a new type of intelligence system
- Can handle early-stage startup work where the path is not always obvious
Compensation: Unpaid Internship
Duration: 5 months
Schedule: Flexible
Location: Remote / Flexible