AI Engineer with Zuora

ThoughtStorm

Contract mid

Toronto, Ontario, CAPosted 7 weeks ago

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PythonJavaScriptJavaSQLAWSGCPAzureDockerKubernetesRESTCI/CDMicroservices

Job Description

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