Senior AI Engineer ID80139
Tasks
- Build agentic observability for MID Servers and Discovery schedules
- Classify correlate and analyze failures
- Collect aggregate and interpret metrics and telemetry
- Convert runbooks into reusable agent workflows
- Design and build AI agents for log analysis at scale
- Develop guardrails and human approval before production changes
- Implement vector database based retrieval
- Integrate LLM APIs for agent workflows using RAG
- Monitor discovery ecosystem health and performance
- Perform root cause analysis and recommend corrective actions
Perks/Benefits
- Flexible hours
- Internal TechTalks
- Learning budget
- Mentorship
- Remote work
- Supportive culture
- Well-being programs
Skills/Tech-stack
Anomaly Detection | Anthropic | Automated testing | CI/CD | DNS | Firewall | Git | GitHub | HTTP | Infrastructure troubleshooting | Jenkins | Linux | Log Analysis | Metrics | OpenAI | Production Engineering | Python | REST API | Retrieval-Augmented Generation | Routing | SNMP | SSH | TCPIP | Telemetry | Vector Databases | WinRM | Windows server
Education
N/A
Roles
AI Engineer | Agentic AI Engineer | Engineer | Senior AI Engineer
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