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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineer in Residence - Generative AI - **Company:** AI Fund - **Location:** United States - **Salary:** $120,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, HTML, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Architectural Patterns, Cascading Style Sheets (CSS), Cloud Computing, Data Stores, Cursor (Graphical User Interface Elements), Python (Programming Language), PostgreSQL, MongoDB, NoSQL, Open Source Technology, Rapid Prototyping Process, Software Engineering, SQL Databases, Systems Architecture, Web Application Frameworks, Google Cloud, Cloud Platform System, GitHub Copilot, Large Language Models, Prompt Engineering, Generative AI, Backend, Event Driven Architecture, Front End Software Development, Multiaccess Edge Computing, Serverless Computing, Microservices - **Published:** August 2, 2026 - **Apply:** https://www.dice.com/job-detail/98be2344-1a11-4303-be85-b8c97ab6e45a ## About the Role For the Engineer in Residence role, we are seeking an AI Full-Stack Engineer with fluency in software development and proficient in rapid prototyping. You should possess intense curiosity and leverage modern Generative AI frameworks. The ideal candidate thrives in fast-paced environments where the goal is to quickly build and iterate on full-stack applications leveraging cutting-edge AI techniques, as well as guiding technical vision and defining architectural patterns., * Demonstrated experience building applications that incorporate Generative AI * Proficiency with GenAI tools and frameworks: prompt engineering, Retrieval-Augmented Generation (RAG), vector databases (e.g., Pinecone, Weaviate), agentic platforms (e.g., LangGraph, CrewAI), LLM evals, and guardrails * Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks * Strong back-end skills, particularly with Python * Familiarity with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.) * Hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code) and understanding of best practices for effective use * Proven track record of architecting, implementing, and deploying scalable and maintainable AI-powered systems * Expertise in designing end-to-end system architectures involving front-end, back-end, APIs, and AI/ML components * Deep curiosity and a fast-learning mindset especially around emerging trends in AI * Ability to write scrappy, disposable code for fast prototyping, and clean code for scalable products * Strong communication skills and ability to work collaboratively across disciplines Nice to have: * Experience gathering user feedback directly and iterating based on insights * Exposure to rapid prototyping methodologies and shipping MVPs * Interest or experience in product design and product thinking * Contributions to open-source GenAI projects or tools * Familiarity with serverless architectures or edge computing * Prior experience as a technical lead or architect on teams delivering AI-driven products * Knowledge of advanced architecture patterns (microservices, event-driven architectures, datastore design) * Experience with large-scale system design and high-performance cloud infrastructures * Familiarity with governance, compliance, and security aspects in AI application architecture $10,000 - $10,000 a month This is a great opportunity for someone in transition and looking to gain awesome building experience working alongside Andrew Ng. We are only considering candidates within commuting distance from Mountain View. As part of the interview process, you will be asked to complete a 15 minutes AI assessment. ## Description You're passionate about staying ahead of the curve in AI constantly exploring new tools, frameworks, and best practices. You'll collaborate closely with Andrew Ng to bring experimental ideas to life through functional prototypes. This role puts you in the front row of where AI is heading, working with technologies that are helping shape the future. If you're driven by ambition, innovation, and the thrill of building what's next this is the role for you. What you will do: * 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, graphDBs, vectorDBs, agentic frameworks, evals, and guardrails) to real-world development * Make key decisions around infrastructure and platform choices, balancing short-term prototyping needs with long-term scalability * Collaborate cross-functionally with product, design, and AI experts to create, test, and iterate on new concepts * Use AI-assisted coding tools (e.g., Cursor, Windsurf, GitHub Copilot, Claude Code) to enhance productivity and speed of iteration * Gather user feedback and iterate quickly based on insights to improve usability and effectiveness * Deploy and manage applications on cloud infrastructure (e.g., AWS, Google Cloud Platform, Supabase) * Build and integrate APIs and third-party services * Participate in architecture discussions and technical planning * Identify and troubleshoot issues across the stack * Contribute to improving development processes, tools, and team practices * Stay current with industry trends and emerging technologies ## Related Videos - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [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) - [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) - [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 - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer)