What are the responsibilities and job description for the Sr. Generative AI Engineer position at Miracle Software Systems, Inc?
Miracle Software Systems, seeking a highly skilled Senior Generative AI Engineer with strong expertise in RAG systems, LLMs, vector databases, and API development. The ideal candidate will be responsible for designing, developing, and deploying next-generation AI solutions that integrate seamlessly into enterprise environments.
- Design, develop, and deploy Generative AI applications with a focus on Retrieval-Augmented Generation (RAG)
- Build, fine-tune, and optimize LLM-based models for production use
- Integrate and manage vector databases (FAISS, Pinecone, ChromaDB, etc.)
- Develop and expose AI capabilities through scalable APIs using frameworks like FastAPI
- Build data pipelines for training, evaluation, and deployment of AI/ML models
- Apply prompt engineering best practices to enhance LLM performance and accuracy
- Ensure robust, scalable deployments using Docker, Kubernetes, MLOps, and CI/CD pipelines
- Work on Google Cloud Platform-based cloud architectures, leveraging services for model serving and orchestration
- Collaborate with cross-functional teams to integrate AI applications into enterprise systems
- Deliver secure, production-ready, and high-performance AI solutions
- Hands-on experience with Generative AI, RAG pipelines, LLM fine-tuning
- Strong knowledge of Python, AI/ML frameworks, and vector search
- Experience with FastAPI or similar API frameworks
- Strong understanding of MLOps, CI/CD, Docker/Kubernetes
- Experience on Google Cloud Platform (Google Cloud Platform) or other cloud environments
- Excellent problem-solving and communication skills
- Ability to work in fast-paced, collaborative environments
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