I’ve just launched a deep-tech startup devoted to pushing the limits of artificial intelligence, and I’m ready to bring a committed AI software engineer into the core team. You will own the software layer of our AI stack—designing training pipelines, shaping inference services, integrating state-of-the-art models, and turning ambitious ideas into production-ready code. Expect to work hands-on with Python, PyTorch or TensorFlow, modern MLOps tooling (Docker, Kubernetes, CI/CD), and a cloud platform such as AWS or GCP. Because we’re still small, your voice will matter. Whether your strongest suit is classic machine learning, NLP, computer vision, or another specialty, it’s the ability to turn theory into robust, well-tested code that counts. Deliverables • An initial proof-of-concept service or library showcasing one key AI capability we agree on • Clear documentation and lightweight tests so anyone on the team can extend your work • A brief hand-off call or recorded walkthrough Acceptance criteria • Runs reproducibly from a fresh clone via the provided requirements file or Docker image • Meets the agreed performance benchmark or accuracy target • Code follows PEP 8 and includes comments explaining critical logic If you thrive on experimentation and want to shape a company from day one, I’d love to hear from you.