Senior AI Engineer

🕒 Yesterday

🇺🇸 United States – Remote

💵 $125k - $156k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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ZenBusiness

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

☁️ SaaS

🤝 B2B

Finance • SaaS • B2B

ZenBusiness is a comprehensive platform designed to assist entrepreneurs in starting, running, and growing their businesses. The company provides a range of services, including the formation of LLCs, S Corps, and C Corps, as well as compliance management with their Registered Agent Service and worry-free compliance offerings. In addition, ZenBusiness offers financial management tools such as Money Pro bookkeeping and business banking services. They also provide tools for online presence and customer acquisition like domain name registration, website and logo builders. With an emphasis on affordability and expert support, ZenBusiness aims to streamline the business setup process from formation to management.

📋 Description

• Build and maintain APIs that integrate generative AI models into production systems, with a focus on scalability and low latency. • Collaborate with cross-functional teams to identify use cases for generative AI, define requirements, and contribute to impactful solutions. • Implement and optimize workflows for model inference using large-scale pre-trained models. • Contribute to generative AI model pipelines, supporting monitoring and ongoing performance. • Conduct experiments to evaluate generative AI models against real-world performance metrics such as fluency, coherence, and factual accuracy. • Stay current with advancements in generative AI research and help integrate new techniques into the organization’s capabilities. • Support the reliability, scalability, and security of generative AI systems in deployment. • Document processes, architectures, and technical decisions to facilitate collaboration and future improvements.

🎯 Requirements

• 4+ years of experience in ML/AI engineering, with experience contributing to generative AI products. • Experience with LLM design patterns, including Retrieval-Augmented Generation (RAG), as well as familiarity with broader search and retrieval systems such as vector search, semantic search, and document indexing. • Strong knowledge of large language model (LLM) concepts including prompt engineering, AI feature evaluation, and working with vector databases. • Experience working with Vertex AI or similar managed AI platforms. • Hands-on experience with LLM evaluation frameworks, including dataset management, recall testing, and LLM-as-judge patterns. • Familiarity with experiment tracking tools such as Weights & Biases. • Working knowledge of MLOps practices: deployment, model monitoring, and CI/CD workflows. • Strong problem-solving, system design, and technology decision-making skills. • Some exposure to application development, such as contributing to or building simple software applications. • Experience with Node.js and/or TypeScript, particularly in building or maintaining API services. • Experience designing and versioning REST APIs. • Working knowledge of PostgreSQL, including schema design, migrations, and JSONB usage.

🏖️ Benefits

• medical, vision, dental, disability, and life insurance • parental and military leave • employee assistance program • 401k + match • annual bonus • pet insurance • RSUs • Paid parking* and 10 paid holidays