Agentic AI Engineering Intern

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 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 MyDataProductMyDataProduct (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.