Deion is the the done-for-you, anti-AI-slop Canva alternative for YouTube thumbnail design.
It’s powered by Semantic Design Engine—our proprietary design automation algorithm that transforms YouTube video titles into custom 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
- Submission of source code for your AI-developed project
- Completion of a new demo project
- At least 10 hours of synchronous meeting availability between 1:00 PM and 5:00 Central Time on weekdays, for the next 6 months; and
- Availability to start work within 2 weeks
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 our 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
- Leverage Claude Code and Gemini CLI to accelerate development cycles and orchestrate complex agentic task execution
- Build bespoke reasoning loops and decision-making logic to solve open-ended problems
- 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 business objectives
- Architect modular systems that enable agents to autonomously select and use the correct tools for a given task
- Collaborate with cross-functional teams to define, implement, deploy, and scale performant AI solutions
- 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
- Extensive experience using AI coding tools like Claude Code and Gemini CLI
- Demonstrated systems thinking skills with the ability to map out intricate logic flows and manage state across complex processes
- The ability to apply defense in depth principles across the stack, layering targeted, measurable safeguards to address vulnerabilities at every level of a complex system
- 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.