You are viewing a preview of this job. Log in or register to view more details about this job.

Agentic AI Engineering Intern at Deion

MyDataProduct
Email

Deion is the the done-for-you, anti-AI-slop Canva alternative for YouTube thumbnail design.

It's powered by Semantic Design Engine—a proprietary algorithm that transforms YouTube video titles into custom, download-ready thumbnails. Learn more at https://deion.io/.

We are looking for an undergraduate Agentic AI Engineering Intern for a fixed-scope, fixed-fee 1099 internship contract. This internship is 100% remote in the United States.

Qualification for this opportunity requires completion of a demo project and at least 10 hours of synchronous meeting availability between 1:00 PM and 5:00 Central Time on weekdays, for the next 6 months.

This role is not open to

  • Individuals on CPT/OPT/EAD
  • Recruiters
  • Agencies
  • Consulting companies
  • C2C arrangements

This role may be a good fit if

  • You are comfortable working 100% remotely as part of a distributed team
  • You excel at designing autonomous systems that don't just follow "if-this-then-that" rules, but can reason through complex tasks using LLMs
  • Your work products demonstrate a high level of attention to detail and the ability to see the big picture
  • Your aptitude, mindset, and ability to learn quickly make up for shortcomings in your current skill set
  • You resonate with MDP's core values:
  • ....... 1. High performance, engagement, and reliability
  • ....... 2. Proper prioritization, timeliness, and risk mitigation
  • ....... 3. Outcome ownership, accountability, and meritocracy
  • ....... 4. Systems thinking, modularity, and automation
  • ....... 5. Excellence in execution and hyper-detail orientation
  • ....... 6. Documentation and asynchronous work
  • ....... 7. Resourceful initiative

This role may require you to

  • Design and implement custom autonomous agent architectures using Python and Google Cloud infrastructure
  • Leverage Gemini CLI and Claude Code to accelerate development cycles and orchestrate complex agentic task execution
  • Build bespoke reasoning loops and decision-making logic to solve open-ended problems without relying on pre-built low-code platforms
  • Integrate diverse data sources and external services into a cohesive system via robust, Python-based middleware
  • Debug and refine non-deterministic agent behaviors to ensure reliability, safety, and alignment with user goals
  • Architect modular systems where agents can autonomously select and use the correct tools for a given task
  • Collaborate with cross-functional teams to define, implement, deploy, and scale AI solutions within a cloud-native environment
  • Document system designs, source code, workflow designs, research, development plans, and engineering standards to enable solution modularity, reproducibility, portability, collaboration, and knowledge sharing
  • Collaborate with teammates using Slack, Notion, Google Meet, and/or other software

An ideal candidate has

  • Strong proficiency in Python with a focus on writing clean, scalable, and highly modular code
  • Practical experience deploying and managing applications within the Google Cloud ecosystem
  • Familiarity using advanced developer tools like Gemini CLI or Claude Code to solve technical challenges
  • Demonstrated systems thinking skills with the ability to map out intricate logic flows and manage state across complex processes
  • The ability to decompose high-level, ambiguous objectives into a series of small, autonomous, and verifiable tasks
  • Experience using Git-based version control to manage codebases within a collaborative team setting
  • Excellent communication skills for explaining technical trade-offs and architectural decisions to both technical and non-technical peers
  • A high degree of adaptability and the "engineer’s intuition" required to troubleshoot probabilistic systems
  • Effective modular thinking skills evidenced by the ability to break down large, intricate undertakings into a series of smaller self-contained tasks
  • Excellent written and verbal communication skills
  • Emotional intelligence and coachability

About MyDataProduct

MyDataProduct (MDP) is an independent data product studio and the owner-operator of Deion.

Leveraging best-in-class talent, technologies, and techniques—we design and develop data-empowered software at the intersection of:

  • Jobs-to-be-Done-informed product strategy
  • Applied data science
  • Foundational data engineering, and
  • Stakeholder value obsession

Engineered with thoughtful precision, MDP data products are defined by:

  • Niche verticals & use cases
  • Full-job-cycle value propositions
  • ML-enabled capabilities
  • Synergistic data integrations, and
  • Hyper-personalization

All details of this job description are subject to change at any time, at the sole discretion of Deion or MyDataProduct.