Artificial Intelligence Engineer

🚀 AI Engineer – Early‑Stage Startup (Remote‑Friendly) We’re an ambitious AI Startup on a mission to kill software bugs forever and let the software repair itself. We’re looking for a hands‑on AI Engineer who loves shipping code as much as training models and who thrives in the fast‑moving, build‑measure‑learn rhythm of a startup. What You’ll DoDesign, train and evaluate machine‑learning models end to end (from data collection to prod deployment).Build robust data pipelines and model‑serving APIs that scale to thousands of requests per second.Own experiments: define metrics, set up A/B tests, analyse results, iterate fast.Collaborate daily with product, design and backend teams to translate ML insights into user‑facing features.Contribute to an engineering culture that values code quality, automated testing and clear documentation. What We’re Looking For Must‑have skillsStrong foundations in machine learning & deep learning (supervised, unsupervised and transfer learning).Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.Experience building and operating data/ML pipelines (ETL, feature stores, data versioning).Solid software‑engineering practices: Git workflows, CI/CD, unit & integration testing.Familiarity with containerisation (Docker), orchestration (Kubernetes or similar) and at least one major cloud provider (AWS, GCP or Azure).Proven ability to monitor, debug and optimise models in production (latency, cost, drift).Hands‑on exposure to MLOps stacks (MLflow, Kubeflow, Vertex AI, SageMaker, etc.).Knowledge of privacy & security best practices (GDPR, SOC 2, secret management).Experience with graph‑based approaches.Contributions to open‑source ML projects or publications. Who You Are Builder‑mindset: you rapidly turn ideas into working prototypes, gather feedback, and refine.Product‑oriented: you see beyond the model—every metric maps to a business or user outcome.Collaborative communicator: you can explain complex ML concepts to non‑engineers and incorporate their perspectives.Continuous learner: new papers, tools and methods excite you more than they intimidate you. What We OfferRemote‑first culture with optional co‑working stipends.Fast growth path: your work will directly shape the company’s core technology and culture.Flexible PTO and working hours—results matter more than clock‑watching. Ready to build something impactful? Apply now with your résumé, GitHub/portfolio links and a short note about a recent ML project you’re proud of. We value diversity and encourage candidates of all backgrounds to apply. If you’re excited by this role but don’t meet 100% of the criteria, we’d still love to hear from you.