Mactores

Generative AI Engineer (Intern)

Remote (Mumbai) · Internship · Remote

Good timing - competition is buildingVerified listingPosted 13d ago

Applicants who checked fit first are 3.1× more likely to hear back

What we know about this role

Hiring pulse

LOW

Mactores is showing limited hiring activity lately. Expect slight delayed response.

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First 72 hours

Window passed - posted 13d ago

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Reposted role

This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.

First posted Jul 29, 2026

Skills required

7 listed

Agentic AIAmazon Web ServicesPython (Programming Language)TypeScriptLangGraphCrewAIRetrieval-Augmented Generation (RAG)

You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.

Job description

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' 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 are traceable and defensible.

Bring back what you learn from shadowing engagements into small improvements you can own.

What we're looking for?

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.

You'll be preferred if you have

Personal projects or coursework involving LangGraph, CrewAI, Strands Agents, or similar orchestration frameworks.

Exposure to RAG concepts chunking, embeddings, retrieval, even at a conceptual or academic level.

AWS certifications in progress (Cloud Practitioner, Solutions Architect Associate, or similar).

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 on https://mactores.com/careers

The Path to Joining the Mactores Team

At Mactores, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment:

A series of evaluations of your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager engages with you in multiple discussions, 30 minutes to an hour each, covering technical skills, hands-on experience, leadership potential, and communication.

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.

Mactores provides equal opportunities in all employment practices. We don't 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 applies to every part of the employment relationship, recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs.

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

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Generative AI Engineer (Intern)

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