What are the responsibilities and job description for the Generative AI Engineer position at Miracle Software Systems, Inc.?
Miracle Software Systems Inc. is seeking a Generative AI Engineer for one of our clients at our Dear Born, Michigan,USA location. The candidate must have experience with Google Cloud Platform , Python , RAG and Generative AI skills. This is an Onsite position at the Dear Born, Michigan location. Kindly let me know your availability for this position and share any referrals if you have.
Requirement Details
Job Title: Generative AI Engineer
Location: Dear Born, Michigan
Experience Level: 8- 10 years
Skills : Google Cloud Platform , Python , RAG and Generative AI
Position: Hybrid
Position Description :
We 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.
Responsibilities:
Design 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 (Google Cloud Platform).
Apply containerization (Docker) and CI/CD practices for production deployment.
Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications.
Basic Qualifications:
8 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 Google Cloud Platform.
Experience with Git and Docker.
Preferred Qualifications :
Experience 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.