AI Solutions Engineer
Tasks
- Build data connectors for ingestion sources
- Build demo scripts and MTTR comparisons
- Build fix strategy libraries
- Configure RCA agent retrieval and evidence weighting
- Configure anomaly detection baselines and thresholds
- Configure multi tenant environments and runbooks
- Debug async pipeline failures
- Design build and register LangGraph agent tools
- Engineer custom reactive and proactive demos
- Maintain parser test suite
- Manage technical customer relationship and knowledge transfer
- Modify signature workflow DAG for detection logic
- Monitor stream health and pipeline degradation
- Own customer onboarding and platform configuration
- Package reusable LogIQ skills for customers
- Set up real time log ingestion pipelines
- Ship bug fixes and feature additions to core platform
- Train customers to operate LogIQ independently
- Tune LLM prompts and context settings
- Tune reasoning prompts and retrieval strategies
- Validate RCA output against historical cases
- Wire streaming triggers to RCA agent
- Write custom log parsers
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Asyncio | Autogen | CrewAI | FastAPI | Fluentd | Information Retrieval | Kafka | Kinesis | LLM | Langchain | Langgraph | OpenSearch | PGVector | Prompt engineering | Pydantic | Python | RAG | REST API | SFTP | SQL | SQLAlchemy | Syslog-ng | Vector Search
Education
N/A
Roles
AI | AI Solutions | AI Solutions Engineer | Engineer | Solutions Engineer
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