About Us
At Reap AI, we're a team that loves solving problem. We are hardworking, smart, and fast to take action. We don’t care what your degree is. If you’re logical (no bullshit) and hardworking (almost a workaholic), this is the place for you.
We do not accept mediocrity. We build AI systems that catch fraud and reward honest effort in the real world. Candidates from Physics, Math, Computer Engineering, or self-taught backgrounds who think in first principles are strongly encouraged to apply.
You Should Apply If
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You hate corruption & fraud to the bone
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You loveeeeee working
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You are obsessed with learning new things everyday
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You have good logic
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You are a true Generalist: You aren't afraid to jump from a PyTorch CV model to a Docker/Tailscale config, down to a C/C++ embedded routine on an edge device, up to a React dashboard.
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You live and breathe AI tooling: You use LLMs, custom agents, and automated workflows to write standard code, scripts, and infrastructure in minutes instead of days.
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You take absolute ownership: You prefer shipping complete features solo over endless sync meetings with large teams.
What You’ll Be Doing
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Infrastructure & Sysadmin – Manage bare-metal/GPU servers, Linux environments, Docker setups, and CI/CD pipelines using AI-assisted automation.
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AI & Computer Vision – Build, evaluate, fine-tune, and optimize PyTorch/TensorFlow/ONNX models for real-world video & POS data pipelines.
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Full-Stack & Edge Delivery – Write Python APIs (Backend), lightweight React/TypeScript UIs (Frontend), and optimize C/C++ routines for resource-constrained edge hardware.
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Data Pipelines: Streamline labeling workflows and automate data preprocessing using computer vision frameworks (OpenCV, CVAT, FFmpeg).
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Collaborate with a small, focused team — we value clear thinking, not loud talkin
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Contribute to weekly release cycles and iterate fast based on real user feedbacks