Hybrid Software Engineer – Gen AI

at Ford Motor Company

• Job title: Software Engineer – Gen AI
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $50,000 - $70,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Azure, BigQuery, Cloud, Django, Docker, Flask, Google Cloud Platform, Jenkins, Kubernetes, Python, Terraform
• Location requirements: Hybrid, Allen Park, United States

About the role

• Software Engineer developing generative AI applications for Ford Motor Company. Collaborating with cross-functional teams to innovate mobility technology.

Responsibilities

• Work closely with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and a modern, full-stack architecture.
• Work with software and ML engineers to tackle challenging problems in building and deploying agentic AI solutions.
• Design, build, and maintain cloud infrastructure using Infrastructure as Code (IaC) principles, managing configurations for dev, staging, and prod environments.
• Maintain and manage current CI/CD ecosystem and tools.
• Find ways to automate and continually improve current CI/CD and release processes.
• Examine, inspect code and scripts, and resolve issues across the full application stack.
• Help innovate and standardize development practices for building cloud-native AI products.
• Experiment, innovate and share knowledge with the team.
• Lead by example in the use of Paired Programming and Test-Driven Development for cross-training, problem-solving, and speed to delivery.
• Leverage latest ML / GenAI / agent frameworks to build complex AI workflows.

Requirements

• Bachelor's degree in Computer Science / Computer Engineering or a similar technical discipline.
• 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
• Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++.
• Strong proficiency with web frameworks and REST API (e.g., FastAPI, Flask, Django).
• Experience/understanding in MLOps, Gen AI, AI agents.
• Experience with ML workflow orchestration tools: Airflow, Kubeflow etc.
• Experience in DevOps and CI/CD principles: Jenkins, Tekton, Cloud Build, GitHub Actions etc.
• Experience with scripting language: Bash, PowerShell etc.
• 2+ years of experience with Cloud Engineering, with familiarity in at least one major cloud platform (GCP, AWS, Azure).
• Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, Cloud Run, BigQuery etc.
• Experience in container management solutions: Kubernetes, Docker.
• Experience with Infrastructure as Code: Terraform etc.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.