AI Full Stack Developer
Details:
Stefanini Group is hiring! Stefanini is looking for an AI FullStack Engineer (Dearborn, MI) For quick apply, please reach out to Fardeen Ali at 248-582-6473/[email protected] We are looking for a Senior Full Stack Developer to build and scale AI-powered platforms that accelerate our vehicle development lifecycle. In the Product Development (PD) space, your work will directly impact how we design, engineer, and validate the next generation of vehicles. You will be responsible for taking AI prototypes-ranging from generative design tools to automated engineering documentation assistants-and turning them into robust, high-performance software products used by our global engineering teams. Responsibilities- Design and develop full-stack applications that integrate AI into the PD workflow (e.g., tools for CAD optimization, automated requirement analysis, or simulation data synthesis).
- Build Retrieval-Augmented Generation (RAG) systems that allow engineers to query decades of technical standards, testing logs, and past vehicle program data.
- Create sophisticated front-end interfaces to visualize complex engineering data, 3D models, or simulation results in real-time.
- Take "proof-of-concept" AI models developed by R&D teams and architect them into scalable, production-ready internal products.
- Develop high-throughput APIs to connect AI services with existing PLM (Product Lifecycle Management) and ERP systems.
- Excellent understanding of cloud architecture, cloud services, IAM, CI/CD, Security measures and Cloud networking concepts.
- Full Stack, Java
- API, Big Data, Data Analysis, Data Acquisition
- Atleast 6+ years of experience in IT and 4+ years in development
- Expert in React, Next.js, or TypeScript.
- Deep proficiency in Python (FastAPI/Django).
- Advanced experience with LangChain, LlamaIndex, or Semantic Kernel. Proven ability to move beyond basic prompting into complex agentic workflows.
- Expert knowledge of SQL (PostgreSQL) and Vector Databases. Experience with data lakes is a major advantage.
- Strong experience with GCP cloud architectures.
- Proficiency in Docker, Kubernetes, and building CI/CD pipelines that include model evaluation steps.
- Familiarity with the Product Development Lifecycle (Design, CAE, Testing, Launch).
- Experience in automotive, aerospace, or heavy manufacturing is a plus.
- Ability to understand complex engineering requirements and translate them into intuitive software features.
- Bachelor's Degree
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