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Role details
Tech stack
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Requirements
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 (Google Cloud Platform).
ResponsibilitiesArchitecture: 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.
Skills Required:Artificial Intelligence & Expert Systems
Skills Preferred:Google Cloud Platform
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*
About the company
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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