Staff AI Engineer
Tasks
- Build internal AI system design knowledge
- Build observability infrastructure for AI reliability
- Build reusable platforms and tooling
- Create feedback loops for LLM outputs
- Define agentic system architecture
- Design agent orchestration systems
- Design retrieval systems
- Develop prompt and guardrail systems for LLMs
- Establish evaluation standards for AI systems
- Evaluate and adopt LLM and agent research
- Harden LLM infrastructure
- Implement rag pipelines
- Mentor senior engineers and grow engineering culture
- Own complex cross cutting product areas
- Partner with product and design to shape AI roadmap
- Prototype and validate novel AI approaches
Perks/Benefits
- 401k plan
- Equity compensation
- Flexible time off
- Health and wellness benefits
- In-person offsites
- Technology reimbursements
- Wellness benefits
- Work schedule flexibility
Skills/Tech-stack
Agent Frameworks | Distributed Systems | Embedding pipelines | Embeddings | Evaluation | Guardrails | LLM | LLM APIs | Langgraph | Observability | Prompt engineering | Python | RAG | Retrieval architecture | TypeScript | Vector Databases
Education
N/A
Roles
Regions
Countries
States
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