Stefanini is looking for a Full Stack Developer (Dearborn, MI) [email protected] We are looking for candidates who will focus on building AI/agentic systems for an Enterprise Data Platform, with emphasis on multi-agent orchestration on Google Cloud Platform (GCP). Responsibilities - Architecture: Design multi-agent AI systems, evaluate trade-offs (single vs. multi-agent, RAG vs. fine-tuning), and contribute to Architecture Decision Records. - Hands-on Coding: Daily production-grade code across agent frameworks, backend/frontend, and LLM-powered workflows (NL-to-SQL, semantic search, metadata enrichment), plus guardrails and observability for AI outputs. Familiarity with Agentic coding tools like opencode, Claude code, etc., is expected. - Full-Stack Work: Backend (Python/FastAPI) and frontend (Angular/React) development, chat and API interfaces, and evaluation/benchmarking tools, with end-to-end feature ownership. - Engineering Excellence: Maintain high code quality, lead by example in reviews, conduct root-cause analysis on agent failures, and act as the team's technical anchor for tough problems. - Collaboration: Work with Product, Data Engineering, and Platform teams; mentor others, support sprint planning, and help onboard new hires. In short, the role combines deep technical architecture responsibility with daily hands-on coding, centered on building robust, scalable multi-agent AI systems and serving as the team's go-to technical expert. Job Requirements Details: Skills Required: - Artificial Intelligence & Expert Systems Skills Preferred: - GCP Experience Required: - 5+ years of professional software engineering experience with demonstrated hands-on coding proficiency. - Demonstrable experience building AI-powered applications or operating LLM-based systems in production environments. - Experience with the Google Agent Development Kit (ADK) or comparable agent frameworks, such as CrewAI or LangGraph. - Familiarity with data engineering practices and data governance processes. - Applied machine learning experience encompassing embeddings, classification, clustering, natural language processing, and evaluation metrics. Education Required: - Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Education Preferred: - Master's Degree **Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives*** #LI-NP1 #LI-ONSITE Pay Range: $ 61.00 - $ 66.00