About The Position

We’re looking for a motivated Software Development Co-op who’s excited to build modern web applications, experiment with agentic development patterns, and work with real‑world creator‑economy data. You’ll collaborate with our engineering team to build React front‑end features, integrate Node/NestJS backend services, and help us classify and understand social media creators using model‑driven inference. This co-op is ideal for students who have built meaningful projects, enjoy learning new technologies quickly, and want hands‑on experience with production‑grade systems.

Requirements

  • Currently pursuing a degree in Computer Science, Engineering, or a related field.
  • Coursework or project experience with JavaScript/TypeScript.
  • Hands‑on experience building React applications (class projects, personal projects, hackathons, etc.).
  • Familiarity with Node.js; experience with NestJS is a plus but not required.
  • Understanding of REST APIs, JSON, and asynchronous programming.
  • Experience using ReactQuery/TanStack Query or similar data‑fetching/state tools.
  • Comfort working with external APIs and handling varied data formats.
  • Curiosity about agentic development, LLM‑powered workflows, or tool‑calling patterns.
  • Interest in applying models for classification, tagging, or inference tasks.

Nice To Haves

  • Exposure to social media APIs or creator‑economy tools.
  • Experience with TypeScript end‑to‑end (React + Node).
  • Familiarity with prompt engineering or model‑driven automation.
  • Understanding of basic ML concepts (classification, embeddings, etc.).
  • Experience building dashboards or data‑rich UI components.

Responsibilities

  • Build responsive, component‑driven React front‑end features using modern tooling.
  • Develop and maintain backend endpoints using Node.js and NestJS.
  • Integrate with first- and third‑party APIs (Facebook, Instagram, TikTok, Snapchat, etc.) to fetch, normalize, and aggregate data.
  • Implement state management and data‑fetching patterns using ReactQuery/TanStack Query.
  • Use agentic development practices to design workflows that call models or tools autonomously.
  • Work with ML‑powered inference to classify data.
  • Participate in code reviews, architecture discussions, and iterative product development.

Benefits

  • Real-world experience building production features with modern frameworks.
  • Mentorship from engineers working on distributed systems, data pipelines, and agentic workflows.
  • Exposure to the creator economy, social API ecosystems, and model‑driven classification.
  • A portfolio of shipped features and measurable impact.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service