Senior AI Engineer
Tasks
- Build data ingestion and retrieval infrastructure
- Build end-to-end AI pipelines
- Create AI quality loops
- Define technical architecture and engineering culture
- Design multi-agent systems
- Develop evaluation frameworks and benchmarks
- Implement rag pipelines
- Integrate LLMs with enterprise data and tools
- Orchestrate agent workflows
- Ship full-stack product features
- Write production code in Python and TypeScript
Perks/Benefits
- Collaborative work environment
- Comprehensive dental insurance
- Comprehensive medical insurance
- Comprehensive vision insurance
- Equity participation
- Flexible time off
- Hybrid work schedule
Skills/Tech-stack
Agent systems | Agno | AugmentCode | Benchmarks | CI/CD | Claude Code | Cursor | Data Ingestion | Docker | Evaluation Frameworks | Kubernetes | LLM Applications | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Multi-Agent | Multi-Agent Systems | Orchestration | Python | RAG | Retrieval | Semantic Kernel | TypeScript
Education
N/A
Roles
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