AI Engineer with Zuora

We are currently seeking a talented AI Engineer with Zuora experience to join our team and work on innovative AI-driven revenue reporting and telecom billing solutions. The ideal candidate will have strong experience building LLM-powered applications, working with data analytics, and integrating AI solutions with Zuora-based billing and revenue systems.

🔹 Key Responsibilities • Design, develop, and deploy applications using Large Language Models (LLMs) such as GPT, Claude, LLaMA, or similar • Build AI-driven solutions to support Zuora billing, revenue reporting, and analytics workflows • Implement prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent workflows • Develop scalable APIs and services to integrate AI capabilities into enterprise systems • Optimize model performance, latency, and operational cost • Collaborate with product managers, engineers, and data teams to translate business needs into AI solutions • Monitor and improve model outputs through continuous evaluation and feedback loops • Follow responsible AI practices including data privacy, security, and bias mitigation

🔹 Required Qualifications • Strong programming skills in Python (required); Java or JavaScript is a plus • Hands-on experience with LLMs and NLP techniques • Experience with LangChain, LlamaIndex, Hugging Face, OpenAI APIs, or similar frameworks • Solid understanding of machine learning concepts, transformers, and deep learning • Experience building and deploying cloud-based applications (AWS, Azure, or GCP) • Familiarity with REST APIs, microservices, Docker, and Kubernetes • Experience with Vertex AI in Google Cloud Platform (GCP) • Strong experience with SQL databases and data analytics

🔹 Preferred Qualifications • Experience with Zuora billing platform and revenue reporting systems • Experience fine-tuning open-source LLMs • Knowledge of vector databases (FAISS, Pinecone, Weaviate, Chroma) • Experience with MLOps tools and CI/CD pipelines • Exposure to reinforcement learning, evaluation metrics, or synthetic data generation • Experience delivering production-grade AI systems