Intern
Eulerity
About the role
[Your Name]
[Your Address] • NYC Metro Area • [Phone] • [Email] • [LinkedIn] • [GitHub/Portfolio]
Cover Letter – Android Engineering Intern (AI‑First)
Eulerity – NYC Midtown
Dear Hiring Team,
I’m excited to apply for the Android Engineering Intern role at Eulerity. As a third‑year Computer Science student at [University] living in the NYC tri‑state area, I have spent the past 18 months building production‑grade Android apps with Kotlin, Jetpack Compose, and modern architecture patterns—all while letting AI be my primary development partner. The prospect of joining a company that lives and ships AI‑first code aligns perfectly with my experience and career goals.
Why I’m a Strong Fit
| Requirement | My Experience |
|---|---|
| 1 + year Android/Kotlin | Developed two Play‑Store releases (a social‑shopping app and a real‑time location tracker) using Kotlin, Jetpack Compose, Hilt, Retrofit, and Room. Both apps have >5 k active users and are maintained in CI pipelines. |
| AI‑native workflow | Daily workflow revolves around Claude Code and GitHub Copilot: I generate boilerplate, refactor large codebases, and even write unit tests via prompt‑driven code generation. I maintain a personal “Prompt Library” (Markdown + JSON) that documents system prompts for architecture decisions, error‑handling patterns, and UI scaffolding. |
| Prompt engineering | Designed system‑level prompts that instruct Claude to produce clean MVVM modules, enforce lint rules, and generate Espresso UI tests. My prompts reduced average implementation time from 6 h to ~2 h per feature in a recent hackathon project. |
| Jetpack Compose & UI expertise | Built complex, adaptive UIs (dynamic theming, lazy grids, custom gestures) entirely in Compose, integrating with Material 3 and accessibility APIs. |
| Architecture & patterns | Follow Clean Architecture with domain, data, and presentation layers; use MVI via Orbit‑MVI for state handling. |
| Git & collaboration | Contributor to a 5‑member open‑source Android library (100 + stars). Comfortable with feature‑branch workflow, PR reviews, and rebasing. |
| Ownership & shipping | End‑to‑end ownership of the “Smart Recommendations” feature in my side‑project, which leveraged a lightweight on‑device TensorFlow Lite model to personalize product suggestions. Deployed via Google Play’s internal testing track and gathered analytics with Firebase. |
A Recent AI‑First Project (Relevant to Eulerity)
Project: AdPulse – a prototype Android client that lets local franchise owners preview AI‑generated ad creatives.
- Prompt‑driven scaffolding: Used Claude Code with a system prompt that enforced a Clean‑Architecture + MVVM template, instantly generating repository, use‑case, and ViewModel layers.
- AI‑assisted debugging: When a Retrofit call failed, I prompted Claude with the stack trace and the relevant interface; it suggested the exact missing
@Queryannotation, which I applied in seconds. - Automated testing: Prompted Claude to produce JUnit + MockK unit tests for each new use‑case; the generated tests achieved >85 % coverage on first run.
- Outcome: Delivered a functional MVP in 10 days (vs. the typical 3‑week timeline for a solo dev), and the prototype was demoed to a local ad‑tech startup that expressed interest in a partnership.
This experience mirrors Eulerity’s “AI‑first” ethos: AI was not a side‑tool but the engine that powered design, implementation, and validation.
What I’ll Bring to Eulerity
- AI‑first mindset – I’ll continuously refine prompts and system instructions to accelerate feature delivery, reduce bugs, and keep the codebase clean.
- Production‑ready Android skills – Jetpack Compose, Hilt, Coroutines, and modern testing frameworks are second nature to me.
- Ownership & impact – I thrive when my work reaches real users; I’ll treat every ticket as a mini‑product launch.
- Collaborative spirit – Comfortable working in a hybrid office, I’ll contribute to design reviews, sprint planning, and knowledge‑sharing sessions on AI tooling.
Closing
Eulerity’s commitment to “AI‑native” development is exactly the environment where I can contribute immediately and grow alongside a team that’s redefining marketing automation. I would love the opportunity to discuss how my AI‑augmented workflow and Android expertise can help ship the next generation of intelligent ad experiences.
Thank you for considering my application. I look forward to the possibility of building real‑impact features together.
Sincerely,
[Your Name]
Attachments: Resume, Portfolio (GitHub/Play Store links), Prompt Library excerpt (optional).
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