• Improving our matching algorithm — helping users discover the right jobs faster
• Refining our application generation — making personalized cover letters and responses even better
• Optimizing our classification systems — understanding job postings, extracting requirements, and matching them to user profiles
• Building new intelligent features — as we scale from hundreds to thousands of daily applications

You'll be working with production systems serving real users, integrated into our Flask–MySQL–Azure stack.

What You'll Do

Enhance our core AI systems:

• Improve job-to-candidate matching algorithms
• Refine our NLP models that parse job descriptions and extract key requirements
• Optimize application generation to increase interview callback rates
• Build classification systems for job categories, industries, and skill matching

Ship features that matter:

• Implement A/B tests to measure impact on user success
• Build evaluation pipelines using real application outcomes
• Deploy model improvements to production and monitor performance
• Integrate new AI capabilities into our Flask backend

Work with real data:

• Analyze what makes applications successful (callback rates, interview conversions)
• Clean and structure data from job boards and user interactions
• Build feedback loops that make the AI smarter over time

What We're Looking For

Technical skills:

• Strong Python with production Flask experience
• ML/NLP experience: scikit-learn, PyTorch, transformers, or LLMs
• Comfortable with MySQL and building data pipelines
• Experience deploying models to production (Azure preferred)

The right mindset:

• You want to see your work help real people land jobs
• You're data-driven: you measure, iterate, and improve
• You move fast and aren't afraid to ship and learn
• You're curious about how AI can create better user experiences

What You'll Gain

Real impact:

• Your work directly affects whether users get interviews and job offers
• See immediate feedback: application success rates, user engagement, callback metrics
• Help people change their careers and lives

Full-stack AI experience:

• Ship AI features in a live product with thousands of users
• Learn how to build, deploy, and iterate on production ML systems
• Work across the entire stack: models, APIs, databases, and cloud infrastructure

Startup environment:

• We're post-launch and growing — your work shapes the product
• Rapid iteration, direct user feedback, no bureaucracy
• Work with a small team where your contributions matter

Why This Matters

Job searching sucks. Everyone knows it. We've built something that actually works — people are getting callbacks the day after using Qling. But we're just getting started.

We need AI engineers who want to take this from "working" to "exceptional" — smarter matching, better applications, higher success rates.

If you want to build AI that people actually use every day to improve their lives, join us.