> Markdown version of [/jobs/ext/2704073-data-engineer](https://www.wearedevelopers.com/jobs/ext/2704073-data-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). --- # Data Engineer - **Company:** Applied Intuition - **Location:** Sunnyvale, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Databases, Data Discovery, Information Engineering, Python (Programming Language), PostgreSQL, DataOps, TypeScript, Graphics Processing Unit (GPU), ReactJS, Large Language Models, Kubernetes, Machine Learning Operations, Docker, Golang, Microservices - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/data-engineer-axion-appliedintuition-com-9000005 ## About the Role * 5+ years of relevant work experience * Familiarity with modern ML infrastructure, data-centric AI approaches and running large-scale jobs on GPUs * Created or worked on microservices and/or databases for data-oriented software * A hunger to learn and grow into a position of ownership and impact on a new product team * U.S. citizenship (legally required) and eligibility to obtain a security clearance Nice to have: * Full-stack experience React, TypeScript Python, Golang or similar * Experience with Docker, Kubernetes, Opensearch and Postgres * Direct experience with foundation models, including LLMs and VLMs, for data automation tasks * Background in autonomous driving or robotics perception * Experience with active learning, auto-labeling, or human-in-the-loop ML systems ## Description * Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles * Integrate foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery * Leverage software-in-the-loop and hardware-in-the-loop testing * Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)