Senior AI Software Engineer
Ford Motor CompanyMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy scalable backend services, APIs, and cloud-native solutions primarily using Python, focusing on AI-powered applications including LLM-based, RAG pipelines, and agentic AI systems.
Leverage AI-assisted development tools to accelerate delivery while ensuring high code quality, testing, security, and maintainability.
Manage containerization with Docker, orchestration using Kubernetes, build CI/CD pipelines, and deploy solutions on cloud platforms like AWS, Azure, or GCP.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent professional experience.
3-6 years of professional software engineering experience delivering production-grade applications.
Strong proficiency in Python, REST/GraphQL APIs, microservices, Docker, Kubernetes, CI/CD pipelines, and cloud deployment (AWS, Azure, or GCP).
Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Cursor) and working knowledge of LLMs and AI application frameworks.
Ideal Candidate Profile
Experienced in building and deploying AI-powered backend systems with strong software engineering and architecture skills.
Comfortable working with modern AI technologies including LLMs, prompt engineering, RAG solutions, and agentic AI systems.
Proficient in scalable cloud-native development, container orchestration, CI/CD automation, and cross-functional collaboration in fast-paced environments.