> Markdown version of [/jobs/ext/1568926-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1568926-ai-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). --- # AI Engineer - **Company:** DEEPLEARNING CREATIONS AI LLC - **Location:** Mountain View, CA, United States - **Salary:** $130,000.0 - $175,000.0 - **Contract:** Internship / Graduate position - **Skills:** HTML, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Cascading Style Sheets (CSS), Databases, Python (Programming Language), Machine Learning, NoSQL, Cloud Services, Software Engineering, TypeScript, Web Application Frameworks, Tailwind, ReactJS, Large Language Models, Prompt Engineering, Generative AI, Backend, Front End Software Development - **Published:** July 21, 2026 - **Apply:** https://www.dice.com/job-detail/6faa59d9-5097-4910-b9e8-1561a91ea76c ## About the Role * Technical background in software development, scalable application deployment on cloud services, and the ability to independently develop new software components and integrate them into larger projects. * The ability to use AI coding tools (e.g., Claude Code, Codex, Gemini CLI) both for the purposes of writing scrappy, disposable code to get from idea to working prototype in hours or days, as well as to refine your prototype into a clean, robust codebase for scalable products. * Proficiency with GenAI tools and frameworks: prompt engineering, RAG, finetuning, agentic workflows, evals, guardrails. Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks like React, Typescript, and Tailwind. Strong back-end skills, particularly with Python. Database skills for relational, noSQL, graph, and vector databases. * Technical familiarity with machine learning and AI, particularly using LLM APIs and frameworks for things like tool calling, agentic workflows, RAG, finetuning, and using popular frameworks / APIs for these things. While you may not be an expert in all these areas, you should be able to demonstrate deep technical understanding of at least a couple of these things and conceptual understanding of the rest. * Strong early career experience in software development and AI / LLM projects. This could come from some combination of formal study, internships, previous work experience, and side projects. * Excellent communicator and team player with strong English language skills if not a native speaker yourself. Bonus if you have: * Background or expertise in education and / or development of educational technology. * Experience in product management, user testing, and rapid iteration. ## Description This position is open to candidates based in the United States. For U.S.-based candidates, you must either already possess or be eligible to obtain authorization to work in the U.S. Here's what you'll do: * Develop new AI products and features to be incorporated into platform learning experiences and content creation workflows. * Work with a small team to quickly iterate and ship new products and features. * Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility * Apply GenAI building blocks (prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world development. * Learn quickly and proactively when it comes to new technologies in the AI space as well as technologies that are new to you. * Be organized in your work, regularly communicate the status of your projects, and ask for help or feedback proactively. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) - [NoLoJS - Avoiding JavaScript Cruft with HTML and CSS - Aaron T. Grogg](https://www.wearedevelopers.com/videos/1806-nolojs-avoiding-javascript-cruft-with-html-and-css-aaron-t-grogg) ## 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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)