Mactores
51 - 200 employees
Founded 2008
đŒ Consulting
đą Enterprise
Consulting âą Enterprise âą Data
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
Product Engineer Intern, Agent Systems
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Mactores
51 - 200 employees
Founded 2008
đŒ Consulting
đą Enterprise
Consulting âą Enterprise âą Data
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
đ Description
âą Assist in building components of the Aedeon agent fleet parsers, extractors, dependency mappers, test synthesizers under senior engineer guidance. âą Learn how agents operate against the Code Intelligence Graph so every action traces back to a line of code. âą Get exposure to governed autonomy stages (shadow, supervised, autonomous) and the human-in-the-loop controls at each stage. âą Shadow how the team orchestrates foundation models (Anthropic, OpenAI, Google) through the Aedeon Decision Model. âą Practice writing tests before code, for the small pieces of functionality you own. âą Help build behavior-equivalence checks comparing agent output against expected results. âą Contribute to test cases covering functional flows and edge cases, with mentor review before anything ships. âą Get hands-on with pytest and the team's CI/CD-integrated test suites. âą Write clear, readable Python and submit pull requests for review. âą Document what you build in Confluence or equivalent clearly enough that a teammate can pick it up without asking you first.
đŻ Requirements
âą Currently pursuing, or recently completed, a degree in Computer Science, Engineering, or a related field. âą Solid foundation in Python personal projects, internships, or coursework; no minimum years of professional experience required. âą Basic understanding of APIs and web frameworks (FastAPI, Flask, or similar) is a plus. âą Genuine curiosity about LLMs, agent frameworks, and how software gets verified before it ships. âą Willingness to learn testing discipline as a habit, not an afterthought. âą Comfortable asking questions and taking feedback on code quality. âą Available to work with reasonable overlap with US business hours.
đïž Benefits
âą Equal opportunities in all employment practices âą No discrimination based on various categories
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