Senior AI Engineer
Foodsmart- Full Time
- Senior (5 to 8 years)
Candidates should possess 5+ years of full-stack development experience, with at least 2 years of direct experience working with AI/ML technologies in production environments. Strong frontend skills are required, including proficiency in TypeScript/JavaScript and React, with experience in building data-oriented interfaces and visualizations. Backend development experience in Go, Python, or TypeScript, focused on API design and service architecture, is necessary. Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases, is also required. Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment, is essential. A solid understanding of database systems and data processing pipelines, with ClickHouse experience being a significant advantage, is needed. Experience with containerization and orchestration technologies like Docker and Kubernetes is also required.
The Senior Fullstack Engineer will be responsible for implementing and maintaining integrations with the broader AI/ML ecosystem, designing and implementing AI-powered features across the full stack, creating robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external AI services, building responsive, intuitive user interfaces that make complex AI functionalities accessible to users, working closely with the AI/ML team to integrate models into production systems with proper monitoring, versioning, and observability, and designing and implementing developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.
High-speed column-oriented database management system
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.