---
title: 'Generative AI Engineer (Intern) at Mactores'
canonical: 'https://feeny.ai/job/generative-ai-engineer-intern-mactores-mumbai-sea99q81vqk5'
type: 'job'
last_seen: '2026-09-11'
---

# Generative AI Engineer (Intern) at Mactores

- **Company:** Mactores
- **Location:** Mumbai, India
- **Employment:** internship
- **Work type:** remote
- **Posted:** 2026-07-29
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.lever.co/mactores/6ba73d45-b772-455b-92d2-b42544b3f729

## 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.

## About Mactores

## Company Overview
- **One-liner**: Mactores is an agent-native AWS modernization firm that delivers data platform, application, and AI agent projects for enterprise customers using a proprietary agent platform (Aedeon) and forward-deployed engineers.
- **Entity Type**: Private (Privately Held, no disclosed funding rounds)
- **Headquarters**: Bellevue, Washington, United States
- **Founded**: 2008
- **Founders**: Bal Heroor (CEO) and Nandan Umarji (COO)

## Core Business
- **Primary industry**: Cloud consulting & modernization / IT services (specializing in AWS, data platforms, and AI agents)
- **Target customers**: Fortune 500 companies, high-growth software teams (B2B enterprise)
- **Mission or purpose**: “Build the firm that builds the AI era.” Deliver modernizations that “compound for years, finished in weeks instead of quarters.”

## Products & Services
- **Aedeon Agent Platform**: Proprietary internal platform that absorbs 60–70% of engagement work (discovery, mapping, validation, cutover instrumentation), replacing the traditional consulting pyramid.
- **Data Platform Modernization**: Modernize data foundations to enable AI readiness, completed in weeks rather than quarters.
- **Application & Database Modernization**: Migrate and refactor legacy apps and databases to AWS-native architectures.
- **AI Agents for Apps**: Deploy production-grade AI agents for real operations (customer support, claims processing, real-time decision grids).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metrics**:
  - Annual Revenue: $5M (per LinkedIn, though company website states “200+ AWS-certified engineers” suggesting a larger scale)
  - Headcount: Conflicting reports – LinkedIn lists 65 employees (with +5.4% YoY growth), while the company website claims “200+ AWS-certified engineers.” Actual headcount likely higher than 65.
  - 7 AWS Consulting Competencies, 17 AWS Service Validations, Agentic AI Specialization, AWS Premier Tier Services Partner.
- **Notable Investors/Partners**: No external investors disclosed. Key partners include AWS (Premier Tier Partner) and customers such as Safaricom, Synaptics, Flipboard, Poshmark, Seagate, HP, Adani, DocuSign, KlearTrust, Tilia, Sterne Kessler, and Total Expert.
- **Growth Signals**: Headcount growth of +5.4% YoY (per LinkedIn), active job postings (+33.3% month-over-month), and expansion into AI agent delivery with Aedeon platform.

## Competitive Advantages
- **Agent-native delivery model**: Aedeon replaces the junior-heavy pyramid by automating 60–70% of engagement hours, allowing a lean team of senior forward-deployed engineers to own architecture and cutover directly.
- **Fixed-date, fixed-fee contracts**: Engagements close on customer-signed acceptance, not status reviews, reducing risk for clients.
- **Deep AWS credentials**: One of the first specialist AWS adoption practices, with Premier Tier Partner status, 7 competencies, and 200+ AWS-certified engineers – a credential set that procurement teams trust.

## Strategic Focus
- Scale the agent-native model across more enterprise engagements.
- Deepen specialization in Generative AI and Agentic AI on AWS.
- Continue to invest in Aedeon, the internal agent platform, to further reduce delivery hours and enable faster modernization cycles.
- Expand headcount with senior engineers who can operate as delivery owners.

## Why Work Here
- **Culture**: Pragmatic, principle-driven environment (“Ten Core Leadership Principles”). Everyone is expected to get in the trenches; top-down teamwork and ownership are emphasized.
- **Work/Life Balance**: Scrum-based planning with day, week, sprint, and quarterly goals. Proactive communication prevents last-minute confusion. Time off is encouraged.
- **Learning & Development**: 20% of every Mactorian’s time is dedicated to learning new technologies. AWS certifications are fully funded and treated as staffing-quality investments.
- **Role Clarity**: Engineers are not placed on a pyramid under a thin senior layer. Every Mactores forward-deployed engineer is a senior delivery owner who personally signs off on production cutovers.
- **Remote/Hybrid**: Mixed – some roles are fully remote (e.g., Channel Partner Manager, Technical Content Writer), while others (e.g., Business Development Representative in Mumbai) are hybrid. Open roles listed on Lever.
- **Notable Perks**: Permanent learning time, career progression tied to principles and delivery outcomes.

## Sources
1. [mactores.com/about](https://mactores.com/about)
2. [mactores.com/careers](https://mactores.com/careers)
3. [jobs.lever.co/mactores](https://jobs.lever.co/mactores)
4. [linkedin.com/company/mactores](https://linkedin.com/company/mactores)
5. [mactores.com](https://www.mactores.com/?hsLang=en)

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