Mactores
51 - 200 employees
Founded 2008
💼 Consulting
🏢 Enterprise
Consulting • Enterprise • 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.
Generative AI Engineer – Intern
🔥 6 minutes ago
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Mactores
51 - 200 employees
Founded 2008
💼 Consulting
🏢 Enterprise
Consulting • Enterprise • 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.
📋 Description
• 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 are traceable and defensible. • Bring back what you learn from shadowing engagements into small improvements you can own.
🎯 Requirements
• Currently pursuing, or recently completed, a degree in Computer Science, Engineering, or a related field. • A foundation in Python (and ideally some TypeScript) from coursework, personal projects, or prior internships no professional production experience required. • Genuine curiosity about agentic AI: how agents plan, use tools, retrieve context, and get evaluated. You don't need to have shipped an agent, you need to want to learn how they're built properly. • Basic familiarity with cloud concepts; AWS exposure through coursework, certifications-in-progress, or personal projects is a plus. • Comfort with testing-driven habits, willingness to learn to write test cases before code, not after.
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