
Product Engineer Intern, Agent Systems
Posted Jul 29

Posted Jul 29
This is a fully remote position, open to applicants in India.
β’ Assist in the development of components for the Aedeon agent fleet, including parsers, extractors, dependency mappers, and test synthesizers under the guidance of a senior engineer.
β’ Acquire knowledge on how agents interact with the Code Intelligence Graph, ensuring that each action corresponds to a specific line of code.
β’ Gain insights into the various stages of governed autonomy (shadow, supervised, autonomous) and the human-in-the-loop controls present at each phase.
β’ Observe the team as they manage foundation models (Anthropic, OpenAI, Google) utilizing the Aedeon Decision Model.
β’ Engage in the practice of writing tests prior to coding for the smaller functionalities you are responsible for.
β’ Assist in creating behavior-equivalence checks that compare agent outputs with expected results.
β’ Contribute to the development of test cases that encompass functional flows and edge cases, undergoing mentor review prior to deployment.
β’ Gain practical experience with pytest and the team's CI/CD-integrated test suites.
β’ Write clear and readable Python code and submit pull requests for evaluation.
β’ Document your work in Confluence or a similar platform with sufficient clarity to enable a teammate to understand it without needing to ask you.
β’ Currently pursuing or have recently completed a degree in Computer Science, Engineering, or a related discipline.
β’ Strong foundation in Python through personal projects, internships, or academic coursework; no specific years of professional experience required.
β’ Basic familiarity with APIs and web frameworks (FastAPI, Flask, or similar) is advantageous.
β’ A genuine interest in LLMs, agent frameworks, and understanding the software verification process prior to release.
β’ A commitment to developing testing as a habitual practice rather than an afterthought.
β’ Comfortable with asking questions and receiving feedback regarding code quality.
β’ Available to work with a reasonable overlap with US business hours.
β’ Equal opportunities in all employment practices.
β’ No discrimination based on various categories.
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