Software Engineer, AI & Data Systems
Tasks
- Build core platform capabilities for identity data systems
- Build customer facing backend products
- Build infrastructure for large scale data collection and processing
- Build scalable backend services and APIs
- Contribute to engineering standards and technical strategy
- Debug and operate production systems independently
- Deploy and operate software systems end to end
- Design and operate high volume data pipelines
- Design distributed systems for high volume workloads
- Develop AI agents and developer tooling
- Improve reliability observability security and scalability
- Maintain data models and processing workflows
- Make architecture decisions and communicate tradeoffs
- Operate reliable systems for AI agents at scale
- Work with LLMs and modern AI frameworks
Perks/Benefits
Skills/Tech-stack
AI Agents | API | Backend Development | Cloud infrastructure | Data Modeling | Data Pipelines | Data Processing | Distributed Systems | High Volume | High Volume Data Pipelines | High-volume data | LLMs | Large Scale Data | Large-scale | Large-scale Data Processing | Machine Learning | Observability | Production Debugging | Python | Reliability Engineering | Scalability | Security Engineering | System Architecture
Education
Roles
Regions
Countries
States
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