Senior AI Engineer
FoodsmartSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Database Technology, AI/ML, Cloud ComputingIndustries
Requirements
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 utilizing TypeScript/JavaScript and React are required, along with experience building data-oriented interfaces and visualizations. Backend development experience in Go, Python, or TypeScript, focused on API design and service architecture, is essential. Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases, is necessary. Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly those related to AI/ML deployment, is required, and experience with containerization and orchestration technologies like Docker and Kubernetes is beneficial.
Responsibilities
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 from backend inference services to user interfaces, creating robust, scalable APIs, building responsive user interfaces, working closely with the AI/ML team to integrate models into production systems, and designing and implementing developer tools, SDKs, and documentation to enable users to leverage ClickHouse’s AI/ML capabilities.
Skills
AI/ML integration
API development
Frontend UI/UX
Backend inference services
API architecture
DevTools and SDKs
Monitoring and observability
Model deployment
Clickhouse
High-speed column-oriented database management system
About Clickhouse
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.
Key Metrics
San Francisco, CaliforniaHeadquarters
2021Year Founded
$291.8MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees