> Markdown version of [/jobs/ext/3022095-artificial-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/3022095-artificial-intelligence-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Engineer - **Company:** Stealth Startup - **Location:** San Jose, CA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Software Quality, Continuous Integration, Extract Transform Load (ETL), Software Debugging, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Management of Software Versions, Pytorch, Transfer Learning, Backend, Git Flow, Integration Tests, Kubernetes, Machine Learning Operations, Data Pipelines, Docker - **Published:** September 21, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/plrf2sha81 ## About the Role 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., Must-have skills * Strong 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. ## Description * Design, 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., * 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 Offer * Remote-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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Got AI ideas but no money? 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