Agent Systems Intern

What you'll do?

Agent systems development

Assist in building components of the Aedeon agent fleet parsers, extractors, dependency mappers, test synthesizers under senior engineer guidance.

Learn how agents operate against the Code Intelligence Graph so every action traces back to a line of code.

Get exposure to governed autonomy stages (shadow, supervised, autonomous) and the human-in-the-loop controls at each stage.

Shadow how the team orchestrates foundation models (Anthropic, OpenAI, Google) through the Aedeon Decision Model.

Verification and quality

Practice writing tests before code, for the small pieces of functionality you own.

Help build behavior-equivalence checks comparing agent output against expected results.

Contribute to test cases covering functional flows and edge cases, with mentor review before anything ships.

Get hands-on with pytest and the team's CI/CD-integrated test suites.

Collaboration and documentation

Write clear, readable Python and submit pull requests for review.

Document what you build in Confluence or equivalent clearly enough that a teammate can pick it up without asking you first.

What we're looking for?

Core Python and fundamentals

Currently pursuing, or recently completed, a degree in Computer Science, Engineering, or a related field.

Solid foundation in Python personal projects, internships, or coursework count; no minimum years of professional experience required.

Basic understanding of APIs and web frameworks (FastAPI, Flask, or similar) is a plus.

Genuine curiosity about LLMs, agent frameworks, and how software gets verified before it ships.

Engineering mindset

Willingness to learn testing discipline as a habit, not an afterthought.

Comfortable asking questions and taking feedback on code quality.

Available to work with reasonable overlap with US business hours.

You'll be preferred if you've

Coursework or personal projects using LangChain, AWS Bedrock, or similar agentic AI frameworks.

Any exposure to Docker, basic Kubernetes concepts, or cloud platforms (AWS preferred).

Familiarity with graph databases (Neo4j) or Elasticsearch/OpenSearch, even at a conceptual level.