Senior AI Solutions Engineer
Tasks
- Build and present reactive and proactive demos
- Build data connectors for ingestion sources
- Configure RCA agent retrieval and evidence weighting
- Configure streaming log ingestion pipelines
- Create fix strategy libraries for remediation steps
- Debug async distributed pipeline failures
- Develop custom log parsers
- Ingest and index knowledge articles and historical cases
- Modify signature workflow DAG for customer logic
- Own customer onboarding and production deployment
- Provision multi tenant environments
- Ship bug fixes and feature additions
- Transfer knowledge to customer teams and train operations
- Tune LLM prompts and memory strategies
- Tune anomaly detection baselines and sensitivity thresholds
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Asyncio | Autogen | Celery | CrewAI | Docker | Elasticsearch | FastAPI | Fluentd | Full-text search | IAM | JSONB | Kafka | Kinesis | LLM | LLM Agents | Langchain | Langgraph | Logstash | OpenSearch | PGVector | PostgreSQL | Prompt engineering | Pydantic | Python | Redis | S3 | SQL | SQLAlchemy | SQS | SyslogNg | Text search | Time Series | Time-series databases | Vector Search
Education
N/A
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