Senior AI Engineer ID80139
Tasks
- Build vector database based retrieval
- Classify and correlate failures
- Collect and interpret metrics and telemetry from logs and monitoring systems
- Convert runbooks into reusable agentic workflows
- Design and build AI agents to analyze Discovery logs and execution results
- Develop agentic observability for MID Servers and Discovery schedules
- Implement testing and guardrails with human approval for production changes
- Integrate LLM APIs with retrieval augmented generation
- Perform root cause analysis
- Recommend and generate corrective actions
Perks/Benefits
- Annual learning budget
- Flexible hours
- Internal tech talks
- Learning budget
- Mentorship
- People focused support
- Remote work
- Well-being programs
Skills/Tech-stack
Anthropic | Authentication | Automation | CI/CD | DNS | Docker | Firewalls | Git | GitHub | Grafana | HTTP | Jenkins | Linux | Logging | MID Server | Metrics | Observability | OpenAI | OpenTelemetry | Ports | Prometheus | Python | RAG | REST API | Retrieval-Augmented Generation | Routing | SNMP | SSH | ServiceNow | ServiceNow Discovery | TCP/IP | Telemetry | Vector Databases | WMI | WinRM | Windows server
Education
N/A
Roles
AI Engineer | Agentic AI Engineer | Engineer | Senior AI Engineer
Regions
Countries
States
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