Hybrid Full-Stack Software Engineer, GenAI

Posted last week

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About the role

  • Design, develop, and maintain full-stack applications, encompassing both front-end user interfaces (React/Angular) and robust back-end services (Node.js, Python/Django/Flask, Java/Spring).
  • Integrate Generative AI and Large Language Model (LLM) capabilities to enhance application functionality and user interaction.
  • Implement and optimize cloud solutions leveraging GCP tools (e.g., BigQuery, GCS, Dataflow, Dataproc) and APIs/Microservices.
  • Deploy and manage applications on GCP using Docker and Kubernetes, ensuring optimal performance, scalability, and security.
  • Participate actively in code reviews, advocating for best practices, test-driven development (TDD), and ensuring adherence to Ford's security and compliance standards.
  • Collaborate with cross-functional teams, including product managers and designers, throughout the Agile software development lifecycle.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 3+ years of professional full-stack software development experience.
  • Demonstrated experience and strong understanding of Generative AI concepts and Large Language Models (LLMs), including their application and integration into software solutions.
  • Proficiency in programming languages: JavaScript (with React/Angular), Java, Python, and SQL.
  • Experience designing and developing RESTful APIs.
  • Hands-on experience with GCP services (BigQuery, GCS, Dataflow, Dataproc) and deployment practices (Docker, Kubernetes, CI/CD pipelines).
  • Proficient with Git version control and modern testing frameworks.
  • Solid understanding of software development best practices, design patterns, Agile methodologies, and DevSecOps principles.

Job title

Full-Stack Software Engineer, GenAI

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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