Software Engineer (4) – Premium Engineer 3 (Contract) | Ford | Dearborn, MI (4 days onsite)
Why this role
Build software that solves complex, real-world problems for customers. This role is ideal for an engineer who enjoys working end-to-end—partnering with stakeholders, shaping architecture, delivering high-quality code, and continuously improving performance and security.
Overview
Seeking a contract Software Engineer (Engineer 3 level) to design, develop, test, and maintain software applications and services across the full software development lifecycle. You’ll collaborate with cross-functional teams and apply modern engineering practices to deliver reliable, user-centered solutions.
Key Responsibilities
- Partner with customers and stakeholders to deeply understand use cases, pain points, and requirements, advocating for user-centric solutions
- Design and implement software solutions, including architecture, components, interfaces, and deployment approaches
- Develop and maintain front-end experiences as well as back-end services (APIs and microservices)
- Define and execute test strategies and quality practices aligned to organizational standards and best practices
- Improve application performance and development efficiency by evaluating and adopting new tools and technologies
- Apply engineering practices such as test-driven development, continuous integration, and continuous delivery
- Support security best practices to protect user data (including encryption and anonymization)
Must-Have Qualifications
- Bachelor’s degree
- Experience level aligned with Engineer 3: practical experience in two coding languages (or advanced practical experience in one)
- 6 years in IT and 4 years in software development
- Required skill: Artificial Intelligence Expert Systems
- Ability to interview in person at Ford’s Dearborn location
- Ability to work 4 days onsite in Dearborn, MI (48120)
Nice-to-Have
- Master’s degree
- Experience with Google Agent Development Kit (ADK) or similar agent frameworks (CrewAI, LangGraph)
- Familiarity with data engineering practices and data governance processes
- Applied machine learning experience (embeddings, classification, clustering, NLP, evaluation metrics)
- Preferred skill: GCP
Compensation & Schedule
- Contract role, 40 hours/week
- Pay rate not provided in the job record
Bring your engineering expertise and help deliver impactful software at—apply now.
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