Sr. Software Engineer (Python, GCP, RAG)

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

This job is posted as remote unless the selected candidates lives within 50 miles, then you are required to work hybrid from our Dearborn, MI, or Irvine, CA office

We're seeking a highly skilled and experienced Senior Full Stack Engineer to join our team. You'll play a key role in designing, developing, and deploying cutting-edge AI-powered applications and agents. This includes building cloud-native applications, integrating various enterprise SaaS applications, and creating developer-centric tools. A strong understanding of and experience with Retrieval Augmented Generation (RAG) is highly desirable.

• AI Agent & Application Development: Design, develop, and deploy AI-powered applications and agents leveraging technologies like RAG. This includes everything from data processing and model selection to application integration and deployment.
• Cloud-Native Application Development: Build and maintain cloud-native applications using best practices on Google Cloud Platform (GCP). This involves designing scalable, resilient, and maintainable architectures.
• Integration Platform Development: Architect and build an integration platform enabling seamless communication between various enterprise SaaS applications.
• Microservices Architecture: Design and implement microservices-based architectures for optimal scalability and maintainability.
• DevOps & Deployment: Deploy and maintain applications on GCP, including infrastructure as code (IaC) and CI/CD pipelines.
• Automation: Identify and automate manual processes to improve efficiency and reduce operational overhead.
• Developer Tools: Develop and maintain tools to enhance developer productivity and streamline workflows.

• Education: Bachelor's degree in Computer Science, Electrical Engineering, or a related field. A Master's degree is preferred.
• Experience: 
  • 4+ years of experience in full-stack software development.
  • 2+ years of experience building and deploying cloud-native applications (GCP preferred).
  • Significant experience in developing AI-based agents and applications, ideally with experience in RAG techniques. Specific examples of projects are highly desirable.
  • Experience with various machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Technical Skills:
  • Programming Languages: Expert-level proficiency in Python is crucial. Experience with JavaScript (e.g., React, Node.js) is also required.
  • Cloud Platforms: Deep understanding of and experience with GCP services (e.g., Compute Engine, Cloud Storage, Cloud Functions, Kubernetes).
  • Databases: Experience with various database technologies (e.g., relational, NoSQL).
  • Version Control: Proficient with Git and collaborative platforms like GitHub or Bitbucket.
  • API Development & Integration: Extensive experience with RESTful APIs and microservices architectures.
  • DevOps: Experience with CI/CD pipelines and infrastructure as code (e.g., Terraform).
• Other Skills:
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • A passion for building high-quality, scalable, and maintainable software.
    
     

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor 

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what yo