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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI & Full Stack Engineer, Corporate... - **Company:** Ford Motor Company - **Location:** Topeka, KS, United States (Remote available) - **Experience:** Expert - **Salary:** $99,600.0 - $166,600.0 - **Contract:** Permanent contract - **Skills:** Web Interfaces, Java (Programming Language), Adobe Experience Manager, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Applications Architecture, Automation of Tests, Software Bug Management, Cloud Engineering, Computer Programming, Continuous Integration, Data Transmissions, DevOps, Enterprise Content Management, Middleware, Github, Graph Database, JSON, Python (Programming Language), Machine Learning, Scrum Methodology, Search Technologies, Software Engineering, Systems Integration, Google Cloud, Chatbots, ReactJS, Large Language Models, Prompt Engineering, Generative AI, Schema.org, Backend, AI Platforms, Search Engines, Graphql, Machine Learning Operations, Front End Software Development, Api Design, Terraform, Devsecops, Jenkins, Microservices - **Published:** August 8, 2026 - **Apply:** https://www.juju.com/job/00000000gm9u66 ## About the Role + **10+ years** of professional software engineering experience in full-stack or backend development. + **Production AI Experience:** Hands-on experience building and deploying production-grade AI/ML applications, particularly with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures. + **Strong Programming Foundations:** High proficiency in **Java** (the native backend language of our CMS) and/or **Python.** + **Modern Frontend Experience:** Strong, hands-on experience building web interfaces and components using **React** . + **Enterprise API Design:** Demonstrated experience designing, building, and integrating high-performance, secure APIs ( **REST and GraphQL** ) to seamlessly bridge decoupled enterprise services. + **DevOps & CI/CD:** Practical experience with modern DevOps practices, CI/CD pipelines (e.g., GitHub Actions, Jenkins), and cloud-native architecture. + **Strong Systems Thinker:** Excellent system design, problem-solving, and cross-functional technical leadership skills. Preferred Qualifications + Familiarity with Adobe Experience Manager (AEM) or other enterprise Content Management Systems (CMS). + Experience with semantic search, knowledge graphs, or content intelligence systems. + Hands-on experience with prompt engineering and LLM evaluation frameworks. + Familiarity with Google Cloud Platform (GCP) or similar enterprise cloud ecosystems. + Exposure to enterprise digital communications or managing large-scale content platforms ## Description Ford Motor Company is seeking a Senior AI & Full Stack Engineer within our Corporate Communications team to shape the next generation of intelligent content experiences. In this role, you will have full-stack responsibility for our online publication application, From the Road (FTR), built on Adobe Experience Manager (AEM). You will bridge the gap between web experiences and advanced AI-integrating Generative AI (GenAI), AI-powered search, and Generative Engine Optimization (GEO) capabilities directly into the FTR platform. To establish a deep understanding of our application architecture, you will also actively contribute to core, day-to-day full-stack web development. You will partner closely with cloud architects, AEM platform engineers, and product designers to deliver scalable, AI-first content architectures. 1. AI, GenAI & GEO Engineering + Build enterprise taxonomies, entity models, and knowledge graphs integrated with AEM to convert static pages into structured, reusable content. + Develop dynamic schema-generation systems (JSON-LD, Schema.org) to automate content tagging and maximize search engine crawling. + Design backend AI pipelines using LLMs and RAG to automatically generate article summaries, key facts, and FAQs from editorial content. + Implement automated testing and evaluation frameworks to measure LLM retrieval accuracy, answer quality, and grounding before production release. + Execute Generative Engine Optimization (GEO) and technical SEO strategies to optimize content visibility across conversational AI platforms and search engines. 2. Full-Stack & API Development + Develop robust, scalable backend services and REST/GraphQL APIs using Java or Python. + Build and maintain high-performance, secure microservices and integration layers supporting AI-powered experiences. + Develop frontend features and components using React, successfully bridging data from modern AI middleware to the web experience. 3. Enterprise Platform Integration (AEM Ecosystem) + Partner with enterprise AEM engineering teams to integrate AI capabilities into content repositories, enabling automated metadata enrichment, AI search retrieval, and authoring workflows. 4. DevOps & Cloud Engineering + Develop and maintain CI/CD pipelines using enterprise-standard tools (e.g., GitHub Actions, Jenkins). + Implement Infrastructure as Code (Terraform) to deploy scalable AI platforms powered by Google Cloud technologies. + Support observability, monitoring, operational readiness, and DevSecOps compliance for all deployed AI services. 5. Core Application Development & Agile Execution + **Standard Feature Development:** Leverage AEM and React to build scalable features and resolve technical issues, ensuring the day-to-day stability and evolution of the From the Road application. + **Domain Familiarization:** Actively contribute to standard application features and bug fixes to build deep, hands-on domain knowledge of the platform's codebase and editorial workflows. + **Cross-Functional Collaboration:** Partner closely with business stakeholders, UX/UI designers, and product managers to translate requirements into robust, user-focused, and scalable solutions. + **Agile Integration:** Actively participate in all agile ceremonies including daily stand-ups, sprint planning, retrospectives, and backlog refinement to design, develop, and deliver feature implementations within sprint commitments. ## Related Videos - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Inside Mercedes-Benz: 140 Years of Heritage meet AI](https://www.wearedevelopers.com/videos/100054-inside-mercedes-benz-140-years-of-heritage-meet-ai) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)