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Product Engineer Intern, Agent Systems

1 month, 3 weeks ago
India, United States
Internship
Entry Level
AI Engineer
Software Development
AWS CI/CD Confluence Docker Elasticsearch FastAPI Flask Kubernetes LLM Neo4j OpenSearch Pytest Python
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Mactores

Mactores

Mactores provides data analytics solutions and services that empower businesses to enhance their operational efficiency and value through automation and advanced technologies such as AI, Big Data, and cloud computing.

IT Services
51-250
Founded 2003
View All Jobs 32

Description

  • Assist in building agent system components such as parsers, extractors, dependency mappers, and test synthesizers under senior engineer guidance.
  • Work with the Code Intelligence Graph so agent actions trace back to specific code.
  • Learn and support governed autonomy workflows across shadow, supervised, and autonomous stages.
  • Shadow the orchestration of foundation models through the Aedeon Decision Model.
  • Write tests before code for the small pieces of functionality you own.
  • Help build behavior-equivalence checks against expected results.
  • Contribute to functional and edge-case test coverage with mentor review before release.
  • Write clear Python code and submit pull requests for review.
  • Document work in Confluence or a similar tool so teammates can understand and continue it.

Requirements

  • Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field.
  • Solid foundation in Python from personal projects, internships, or coursework; no minimum professional experience required.
  • Basic understanding of APIs and web frameworks such as FastAPI or Flask is a plus.
  • Genuine curiosity about LLMs, agent frameworks, and software verification.
  • Willingness to learn testing discipline as a habit rather than an afterthought.
  • Comfort with asking questions and receiving feedback on code quality.
  • Available to work with reasonable overlap with US business hours.
  • Coursework or personal projects using LangChain, AWS Bedrock, or similar agentic AI frameworks is preferred.
  • Exposure to Docker, basic Kubernetes concepts, or cloud platforms, especially AWS, is preferred.
  • Familiarity with graph databases such as Neo4j or with Elasticsearch/OpenSearch is preferred.

Benefits

  • Equal opportunity employment practices and non-discrimination across protected categories.
  • Structured hiring process with a take-home assessment, technical interview, panel interview, and HR discussion.
  • Opportunity to work closely with experienced engineers on real production systems.
  • Mentored learning environment with close guidance and review.

Interested in this position?

Apply directly on the company website

Apply Now

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