AI Engineer
2 weeks ago
Type: Remote | Internship (Unpaid, Equity/Recommendation potential)
Duration: 3–6 months | Flexible hours
About Qling
Qling is building the intelligence behind automated job applications. Our AI pipeline classifies incoming emails, manages application statuses, and interacts with users in smart, intuitive ways — reducing friction and saving time for job seekers.
Your Role: AI Engineer
As an AI Engineer at Qling, you'll refine and expand our current models and integrate them into our
Flask–MySQL–Azure stack
for real-time performance. You'll work closely with the team to push our AI features from prototype to production.
What You'll Do
- Design, train, and optimize Python-based classifiers (LLMs or traditional ML).
- Implement and improve inference pipelines within our Flask backend.
- Contribute to data cleaning, feature engineering, and evaluation workflows.
- Partner with backend engineers to deploy, monitor, and scale models on Azure.
What We're Looking For
- Strong Python skills, with experience in Flask and either scikit-learn or PyTorch.
- Familiarity with NLP, classification models, and API integration.
- Hands-on experience with MySQL and cloud deployments (Azure preferred).
- Curiosity about how AI can drive automation and personalization for users.
What You'll Learn
- How to build and deploy AI features inside a live SaaS product.
- End-to-end product integration: models, APIs, frontend workflows, and user interaction.
- How startups move fast: rapid iteration, lean development, and cross-functional collaboration.
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