Senior Applied AI Engineer
Tasks
- Build and improve LLM powered agents
- Deploy agents to production
- Design scalable AI infrastructure
- Design system architecture and data flows
- Develop AI enabled services and APIs
- Drive testing and CI/CD
- Ensure observability security and code quality
- Improve architecture performance and reliability
- Integrate agents with enterprise systems
- Maintain and support production services
Perks/Benefits
Skills/Tech-stack
API Design | Agentic Workflows | Automation workflows | CI/CD | Claude Code | Code Quality | Containers | Cursor | Databases | Distributed Systems | Event Driven | Event-driven architecture | GitHub Copilot | Integration Patterns | LLM Agents | Language Models | Large Language Models | MCP | Observability | OpenAI Codex | Python | Security | System design | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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