Staff AI Engineer
Tasks
- Architect agentic AI systems
- Build production services and APIs
- Build tracing debugging and evaluation frameworks
- Collaborate cross functionally to deliver measurable outcomes
- Design prompt design and retrieval strategies
- Design user experience workflows for AI
- Develop Agentic AI systems
- Evaluate AI system performance
- Implement context engineering for LLMs
- Implement scalability reliability and maintainability practices
- Integrate agents into production systems
- Prototype and test AI proof of concepts
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Agent Frameworks | Azure | Cloud Computing | Cloud platform | Context engineering | Data Pipelines | Debugging | Evaluation Frameworks | Experimentation | Google Cloud | Google Cloud Platform | LLM | Langgraph | Language Models | Large Language Models | Multi-step reasoning | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Structured data | System design | Tool use | Tracing | Unstructured Data | Workflow Orchestration
Education
Roles
AI | AI Engineer | Engineer | Software Engineer | Staff AI Engineer
Regions
Countries
States
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