Staff Agentic AI / Data Engineer
Tasks
- Build LLM as judge pipelines
- Build embedding pipelines
- Build production Agentic AI systems
- Create evaluation infrastructure
- Create reference architectures and open artifacts
- Design memory and context data layer
- Develop versioned skills libraries
- Harden systems against prompt injection and data poisoning
- Implement vector and graph retrieval
- Ingest deployment telemetry and incident data
- Integrate streaming inference with serving stacks
- Monitor production quality and safety
- Orchestrate agents and tool calling
- Support customer deployments in production
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Data Engineering | Data Pipelines | Data Quality | Docker | Embeddings | Graph Databases | Incident Management | Kubernetes | LLM Evaluation | PostgreSQL | Prompt injection | Python | RAG | Relational databases | Retrieval-Augmented Generation | SQL | Security | Streaming inference | Telemetry | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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