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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative AI Engineer - Ford Pro Intelligence - **Company:** Ford Motor Company - **Location:** Bellevue, WA, United States - **Salary:** $118,700.0 - $232,700.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Computer Programming, Data Validation, Software Debugging, Python (Programming Language), Software Maintenance, Regression Testing, Cloud Services, Software Deployment, Software Engineering, SQL Databases, Enterprise Data Management, Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Kotlin, Low Latency - **Published:** August 7, 2026 - **Apply:** https://dejobs.org/x/x/8F126A30BE4B461E915C20E15818F667/job/ ## About the Role Our environment is primarily built around Google Cloud Platform , with production services developed mainly in Python and Kotlin . You do not need experience with every tool listed below, but strong candidates should be comfortable learning across this environment. * 4+ years of professional software engineering experience * 3+ years of hands-on experience building production backend services, APIs, data products, or AI-enabled applications * 3+ years in roles demonstrating Strong programming skills in Python, Kotlin, or Java * 2+ years Practical experience using LLM APIs or building GenAI-enabled applications * 2+ years in roles demonstrating Familiarity with prompt engineering, RAG, tool calling, function calling, or structured model outputs * 2+ years comfortable working years of experience with SQL and structured data * 2+ years of Experience deploying or operating software in a cloud environment, preferably GCP * 2+ years of experience in roles requiring a Strong understanding of testing, monitoring, reliability, and maintainable software design Preferred * 1+ years of experience in roles demonstrating the Ability to collaborate with product managers, engineers, data teams, and business stakeholders. * 1+ years of experience deploying agentic AI based applications in enterprise production environments ## Description Ford Pro Intelligence builds data and AI-powered products that help commercial customers manage fleets more efficiently, safely, and reliably. Our team works across connected vehicle data, fleet operations, driver insights, service planning, charging workflows, and business intelligence to create software that helps customers make better decisions and take action. You will design and develop LLM-powered applications that connect natural language experiences with enterprise data, cloud services, and operational workflows. You will work across agent orchestration, tool calling, prompt engineering, structured data grounding, evaluation, safety, observability, and production deployment. This is a hands-on engineering role for someone who wants to build practical GenAI systems that solve real customer problems, not isolated prototypes. In this role, you will: * Ship production GenAI features that improve customer workflows * Build reliable patterns for LLM integration, tool use, evaluation, and observability * Improve the accuracy, latency, cost, and trustworthiness of AI-enabled systems * Help teams move from prototypes to maintainable production services * Partner across engineering, product, data, security, and business teams * Contribute to responsible AI practices in an enterprise software environment Design and improve LLM-based systems that can interpret user intent, retrieve context, call tools, interact with APIs, and coordinate multi-step workflows. Areas of work may include: * Agent orchestration * Tool calling and function calling * Context and conversation state management * Structured model outputs * Workflow automation * Human-in-the-loop review patterns * Integration with backend services and enterprise APIs Develop systems that transform complex operational signals into concise summaries, recommendations, alerts, and decision-support experiences. The goal is to help customers move from data to action faster. Build the foundations needed to operate GenAI systems responsibly in production, including: * Evaluation datasets and test harnesses * Prompt and workflow regression testing * Groundedness and accuracy checks * Guardrails and safety controls * Prompt injection and misuse defenses * Latency, cost, and quality monitoring * Traceability for debugging AI behavior ## Related Videos - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Why Kotlin is the better Java and how you can start using it](https://www.wearedevelopers.com/videos/661-why-kotlin-is-the-better-java-and-how-you-can-start-using-it) - [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) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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 is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer)