About Mactores

Mactores is the agent-native AWS modernization firm. Most enterprise modernization stalls at pilots and handoffs; ours ships, production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, Aedeon Inc. Aedeon absorbs the repetitive 60–70% of engagement work, discovery, mapping, validation, test generation, while forward-deployed engineers own architecture, judgment, and cutover. Mactores is Aedeon's flagship deployment partner: field delivery informs the platform roadmap, and the platform shapes how we deliver.

About Aedeon

Aedeon is the agent platform for enterprise modernization, built by Aedeon Inc., a separate product company founded by the same team that founded Mactores. Aedeon turns the systems already running a business applications, databases, data platforms, business rules, workflows into governed AI agents, grounded in a persistent Code Intelligence Graph of the customer's own code and verified through behavior-equivalence proof. Aedeon is delivered as a product, not a services engagement, and runs without mandatory forward-deployed engineers.

As an intern on Aedeon's Agent Systems team, you'll work alongside the engineers who build the agents that do the actual modernization work: parsers that read legacy estates, extractors that lift business rules out of code, verifiers that produce behavior-equivalence proof. You won't own an agent end to end on day one, but you'll write real Python against the Code Intelligence Graph, under close mentorship, and see how governed autonomy (shadow, supervised, autonomous stages) actually works in production.

You don't need prior experience with Bedrock or LangChain. You need to be a curious, careful Python learner who wants to understand agent frameworks deeply rather than treat them as a buzzword.

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.

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture onhttps://mactores.com/careers

The Path to Joining the Mactores Team

At Mactores, our recruitment process is built around distinct structured stages. Here's an overview of what to expect at each stage:

Take-home Assessment:

A technical task relevant to the role, so you can demonstrate your thinking and approach at your own pace.

Technical Interview:
A hands-on session with one of our panel members covering your technical skills, hands-on experience, and how you deliver quality under pressure.

Panel Interview:
A structured conversation with members of the hiring team covering your experience, product thinking, and how you work.

HR Discussion:
During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

Note:Please answer as many questions as possible with this application to accelerate the hiring process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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