Senior AI Engineer
Tasks
- Architect agentic systems
- Benchmark agent reliability
- Build agent eval frameworks
- Design autonomous multi-step workflows
- Develop reasoning loops
- Enable LLM code understanding
- Map identity logic in enterprise code
- Orchestrate tool use with function calling
- Reduce hallucinations
- Trace authorization flows
Perks/Benefits
- Competitive benefits
- Dog-friendly office
- Employee events
- Growth opportunities
- Stock options
- Wellness programs
- Work-life balance
Skills/Tech-stack
Agent Orchestration | Context engineering | Data Pipelines | Embeddings | Function Calling | LLM optimization | LLMOps | Language Models | Large Language Models | Memory Management | Planning | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Tool Routing | Vector Databases
Education
N/A
Roles
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