---
title: 'Product Engineer Intern, Agent Systems at Mactores'
canonical: 'https://feeny.ai/job/product-engineer-intern-agent-systems-mactores-mumbai-9vka7nfk2k9a'
type: 'job'
last_seen: '2026-09-11'
---

# Product Engineer Intern, Agent Systems 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/df4d227b-652f-47c9-8c6b-a6262d47ba57

## Job description

## 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.

What you'll do?

Agent systems development

- Assist in building components of the Aedeon agent fleet parsers, extractors, dependency mappers, test synthesizers under senior engineer guidance.
- Learn how agents operate against the Code Intelligence Graph so every action traces back to a line of code.
- Get exposure to governed autonomy stages (shadow, supervised, autonomous) and the human-in-the-loop controls at each stage.
- Shadow how the team orchestrates foundation models (Anthropic, OpenAI, Google) through the Aedeon Decision Model.

Verification and quality

- Practice writing tests before code, for the small pieces of functionality you own.
- Help build behavior-equivalence checks  comparing agent output against expected results.
- Contribute to test cases covering functional flows and edge cases, with mentor review before anything ships.
- Get hands-on with pytest and the team's CI/CD-integrated test suites.

Collaboration and documentation

- Write clear, readable Python and submit pull requests for review.
- Document what you build  in Confluence or equivalent  clearly enough that a teammate can pick it up without asking you first.

What we're looking for?

Core Python and fundamentals

- Currently pursuing, or recently completed, a degree in Computer Science, Engineering, or a related field.
- Solid foundation in Python personal projects, internships, or coursework count; no minimum years of professional experience required.
- Basic understanding of APIs and web frameworks (FastAPI, Flask, or similar) is a plus.
- Genuine curiosity about LLMs, agent frameworks, and how software gets verified before it ships.

Engineering mindset

- Willingness to learn testing discipline as a habit, not an afterthought.
- Comfortable asking questions and taking feedback on code quality.
- Available to work with reasonable overlap with US business hours.

You'll be preferred if you've

- Coursework or personal projects using LangChain, AWS Bedrock, or similar agentic AI frameworks.
- Any exposure to Docker, basic Kubernetes concepts, or cloud platforms (AWS preferred).
- Familiarity with graph databases (Neo4j) or Elasticsearch/OpenSearch, even at a conceptual level.

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 built around distinct structured stages. Here's an overview of what to expect at each stage: Take-home Assessment: A technical task relevant to the role, so you can demonstrate your thinking and approach at your own pace.

Technical Interview:A hands-on session with one of our panel members covering your technical skills, hands-on experience, and how you deliver quality under pressure. 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.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not 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 policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

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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