Mactores
Skills: TypeScript, Python, AWS
Mactores(https://himalayas.app/companies/mactores) is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores(https://himalayas.app/companies/mactores)' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.
This internship sits alongside our Forward-Deployed Engineers (FDEs), who embed with customer teams and ship production agentic AI systems on AWS. You won't carry a delivery commitment on day one instead, you'll work under an FDE's mentorship to learn how agentic systems get built, tested, and verified against real customer data, and you'll get structured exposure to the judgment calls that sit behind every shipped feature.
This is a learning-and-building role, not a staff-augmentation seat and not an advisory role. You'll write real code that feeds into real engagements, under close supervision.
What You'll Do?
Support delivery of agentic AI and AWS modernization work across our three pillars: Data Platform Modernization, Application & Database Modernization, and AI Agents for Apps. Help build and test components of AI agents, orchestration, retrieval pipelines, evaluation harnesses under FDE guidance, working with real (not demo) data wherever possible. Assist in converting existing product or process functionality into callable agent tools, under supervision. Sit in on architecture sessions and customer discussions to learn how design decisions get made and defended; you'll observe and contribute, not lead. Help document agent decisions and test evidence so outputs…
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