Overview:

We're seeking a resourceful and self-driven AI Automation Engineer to develop a Minimum Viable Product (MVP) that can detect user presence on dating platforms like Hinge and Bumble based on inputs like name, location, and photo. You’ll reverse-engineer mobile APIs, automate queries, and apply AI for face similarity matching. The role is ideal for someone who thrives in solving technical challenges with autonomy and persistence.

Key Responsibilities:

• Reverse-engineer APIs of dating apps like Hinge and Bumble using tools such as HTTP Toolkit or proxy sniffers.
• Develop an MVP that can:
• Accept user inputs: name, location, and image.
• Query platforms and retrieve potential profile matches.
• Implement face similarity models to match photos.
• Solve challenges like CAPTCHA, authentication, and rate-limiting using automation and proxy rotation.
• Integrate third-party AI services for facial comparison and data extraction.
• Work independently to plan, test, and refine workflows with minimal guidance.

Key Requirements:

• Strong experience with Python or similar scripting languages.
• Hands-on experience with web/API scraping, mobile app traffic inspection, or reverse engineering.
• Familiarity with tools like HTTP Toolkit, Charles Proxy, or Burp Suite.
• Experience working with facial recognition APIs (e.g., Amazon Rekognition, Face++), or custom AI models for image comparison.
• Ability to solve CAPTCHAs using external solvers or automation frameworks.
• Understanding of proxy management and anti-bot evasion strategies.
• Highly persistent, self-starting, and able to work independently on problem-solving tasks.