Full Stack Software Engineer - AI Applications

Ford Motor•Palo Alto, CA

5d•Onsite

About The Position

This role is for a Full Stack Software Engineer focused on AI Applications. The ideal candidate is an "agent orchestrator" who uses AI as their primary tool for development, focusing on architecture and high-level direction rather than manual coding. They should have a strong understanding of fundamental computer science principles and the ability to critically evaluate AI-generated output. The role involves building and deploying AI-powered applications and agents, integrating systems, automating manual processes, and enhancing developer productivity within a large enterprise environment at Ford Motor Company.

Requirements

Deep Python proficiency for production systems.
JavaScript/TypeScript experience with React, Node.js, or equivalent for front-end and API development.
Experience with AI engineering, including LLMs, embeddings, vector stores, and RAG pipelines.
Familiarity with AI-assisted development tools and workflows.
GCP experience, including Cloud Run, Cloud Functions, GKE, BigQuery, and Cloud Storage, with deployed and operated systems.
Experience with relational and NoSQL databases, understanding their appropriate use cases.
Experience designing and building RESTful APIs and microservices at scale.
Proficiency with Git, Infrastructure as Code (IaC), and CI/CD tools like Terraform and Cloud Build.
BS in Computer Science, Electrical Engineering, or a related field.
2+ years of experience building and deploying full-stack applications in production.
2+ years of experience with cloud-native platforms (GCP preferred).
Demonstrable experience building AI agents or applications.

Nice To Haves

Front-end strength is a big plus.
Bonus for fine-tuning or AI evaluation work.
MS degree is a plus, but not a substitute for shipping software.

Responsibilities

Orchestrate agents to build AI applications, setting the standard for AI-assisted development within the team.
Design, build, and ship AI-powered applications and agents, including RAG pipelines, LLM integrations, and agentic workflows.
Understand and manage the production deployment of AI systems at scale.
Design, deploy, and operate cloud-native systems on GCP, owning the architecture, infrastructure-as-code, and CI/CD pipeline.
Build integration layers across enterprise SaaS platforms, handling complex APIs and legacy constraints.
Automate repetitive manual tasks by writing code or directing AI agents.
Improve developer productivity by building tools, agent workflows, and guardrails.

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
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments
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