Details:
Stefanini Group is hiring!
Stefanini is looking for a Senior Software Engineer - Cloud & AI Platforms, Dearborn, MI (Onsite)
For quick apply, please reach out Adil Khan at 248-728- 6424/Adil.khan@stefanini.com
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.
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.