This role has closed. Mactores has taken the posting down.
hirly last saw it live on 29 September 2026. See similar open roles below, or browse all jobs in Mumbai.
Mactores
Product Engineer Intern, Agent Systems
Mumbai, MH
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hirly's read of this role
- Seniority
- Internship
- Country
- IN
- Work mode
- Remote-friendly
- First seen by hirly
- 21 Sept 2026
Derived automatically from the posting.
the posting
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.