Fullstack Developer with Generative AI l Onsite l W2

Miracle Software Systems, looking for a Fullstack Developer with Generative AI to build cutting-edge AI applications powered by Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).If you're passionate about building scalable AI systems that combine enterprise data with modern cloud and APIs, this role is for you. Requirement : Position: Fullstack Developer with Generative AILocation: Dearborn, MIDuration: Long termSkills: Phython,React,GCP, AIPosition DescriptionWe are seeking a Generative AI Engineer to design, develop, and deploy AI-driven applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures. In this role, you will build scalable AI solutions that integrate enterprise data with modern cloud platforms, APIs, and vector databases to enable intelligent automation and advanced analytics.ResponsibilitiesDesign and develop Generative AI applications using LLMs.Build and optimize RAG pipelines using vector databases and embeddings.Develop scalable APIs for AI services using frameworks such as FastAPI.Implement prompt engineering and model optimization techniques.Build and manage data pipelines for AI training and retrieval systems.Deploy and maintain AI solutions on Google Cloud Platform (GCP).Apply containerization (Docker) and CI/CD practices for production deployment.Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications.Basic Qualifications5+ years of software engineering experience.Strong proficiency in Python.Experience working with LLMs and Generative AI applications.Experience building RAG systems and working with vector databases.Experience developing REST APIs (FastAPI or similar frameworks).Strong knowledge of SQL and data processing.Experience with cloud platforms such as GCP.Experience with Git and Docker.Preferred QualificationsExperience deploying AI/ML solutions in production environments.Experience integrating LLM APIs (OpenAI or similar platforms).Familiarity with LangChain, LlamaIndex, or similar frameworks.Experience with vector databases (Pinecone, Weaviate, FAISS, etc.).Understanding of MLOps and CI/CD pipelines.

Created: 2026-05-09