Senior Software Engineer � Cloud & AI Platforms
About The Position
Stefanini Group is hiring! Stefanini is looking for a Senior Software Engineer - Cloud & AI Platforms, Dearborn, MI (Onsite). We are seeking a highly skilled Senior Software Engineer - Cloud & AI Platforms to join our team and help build and expand modern cloud-native and AI-enabled solutions across Product Development. This role will focus heavily on backend engineering, Google Cloud Platform (GCP), DevOps, platform engineering, enterprise integrations, and AI engineering. The successful candidate will be hands-on technically while also providing the vision, architecture, and technical guidance needed to help establish and grow a new engineering team. The ideal candidate has strong experience developing scalable APIs and cloud services, building CI/CD pipelines, integrating enterprise systems, and developing AI-powered applications. Experience with modern AI architectures such as Retrieval-Augmented Generation (RAG), agentic workflows, and Model Context Protocol (MCP) is highly valued.
Requirements
- 10+ years of overall IT experience.
- 8+ years of software development experience.
- Senior-level software engineering experience with strong backend development expertise.
- Practical experience with at least two programming languages, or advanced proficiency in one programming language.
- Strong, hands-on Google Cloud Platform (GCP) experience.
- Hands-on experience with GCP Cloud Run and BigQuery.
- Experience with data analysis and cloud-based data solutions.
- Experience with containerization and modern cloud-native development.
- Strong experience developing APIs, backend services, and enterprise integrations.
- Experience with DevOps practices and CI/CD pipelines.
- Hands-on experience developing or integrating AI/ML solutions and AI services.
- Strong understanding of software architecture and system design.
- Bachelor's degree in a relevant field.
Nice To Haves
- Experience working within an automotive or Product Development environment.
- Strong experience with enterprise AI platforms and modern AI application architectures.
- Experience with RAG, agentic AI workflows, MCP, LLM integration, prompt engineering, AI evaluation, and telemetry.
- Experience with Angular and modern UI/UX development.
- Experience establishing reusable engineering frameworks, standards, and platform capabilities.
- Experience providing technical leadership or architecture guidance to engineering teams.
Responsibilities
- Design, develop, and support scalable cloud-native applications and backend services.
- Build and enhance AI-enabled applications supporting engineering, business, and operational workflows.
- Develop APIs, microservices, and enterprise integrations using modern software development practices.
- Build and maintain solutions using Google Cloud Platform (GCP), including Cloud Run and BigQuery.
- Develop reusable platform capabilities for AI retrieval, orchestration, prompt management, evaluation, telemetry, and feedback workflows.
- Integrate applications with enterprise knowledge sources, business systems, workflow platforms, and AI services.
- Support emerging AI architectures, including RAG, agentic workflows, MCP, and intelligent workflow automation.
- Design and implement CI/CD pipelines and DevOps practices for cloud-based applications.
- Contribute to solution architecture, technical design, coding standards, and engineering best practices.
- Evaluate emerging technologies and help establish reusable AI engineering standards and frameworks.
- Provide technical leadership, mentorship, and guidance as the engineering team expands.
- Contribute across the application stack, including frontend technologies such as Angular, when needed.
Benefits
- Listed salary ranges may vary based on experience, qualifications, and local market.
- some positions may include bonuses or other incentives
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
