Full-Stack AI Engineer — LLMs, RAG & Cloud

Ford Motor Company; Providence (RI); On-site; USD 113,580 - 192,900; Full time

Benefits offered by this job

Medical, dental, and prescription drug

Vehicle discount program

Tuition assistance

Paid time off and holidays

Diverse employee resource groups

Job summary

Ford Motor Company is seeking a Full-Stack Software Engineer to design, build, and deploy cloud-based analytics applications on the Global Data Insight & Analytics (GDIA) team. You will own the end-to-end lifecycle from design to deployment and apply AI-driven optimization and agentic workflows for industrial analytics.

You will collaborate with product managers, designers, and engineers, writing scalable code with modern frontend and backend frameworks and integrating LLM APIs to automate data

Qualifications

• Bachelor's degree in computer science, information technology or related field.
• 4+ years of professional software engineering experience.
• 3+ years of experience with modern frontend frameworks (Angular/React/Vue).
• 3+ years of backend frameworks (FastAPI/Flask/Django/Spring Boot).
• 2+ years of Python and/or Java.
• Experience integrating LLM APIs or open-source models.

Responsibilities

• Architect, build, and deploy LLM-powered applications and RAG pipelines.
• Champion AI tools to streamline development, testing, and CI/CD.
• Translate business goals into technical requirements and tests.
• Create technical design docs, architecture diagrams, and APIs.
• Build CI/CD pipelines with security scanning and IAM practices.
• Participate in problem management and RCA for high availability.

Skills

Software Engineering

AI & LLM integration

Agile collaboration

Cloud & DevOps practices

Education

Bachelor's degree in CS/IT or related field

Master's degree in CS/Engineering (preferred)

Tools

Angular

React

Vue

FastAPI

Flask

Django

Spring Boot

Python

Java

LLM APIs

Job description

Ford Motor Company is seeking a Full-Stack Software Engineer to design, build, and deploy cloud-based analytics applications on the Global Data Insight & Analytics (GDIA) team. You will own the end-to-end lifecycle from design to deployment and apply AI-driven optimization and agentic workflows for industrial analytics.

You will collaborate with product managers, designers, and engineers, writing scalable code with modern frontend and backend frameworks and integrating LLM APIs to automate data