Prompt Engineering Architect
Tasks
- Architect agentic workflows
- Build evaluation frameworks
- Collaborate on prompt model co design
- Conduct technical reviews
- Define LLM application standards
- Design prompt structures and instruction templates
- Design retrieval strategies
- Develop chunking indexing and reranking
- Develop internal LLM libraries and tooling
- Document patterns and lessons learned
- Establish safety filters and policy enforcement
- Implement tool use planning and memory
- Lead red teaming and robustness testing
- Lead retrieval augmented generation pipelines
- Mentor engineers on prompt engineering
- Track latency cost and quality tradeoffs
Perks/Benefits
Skills/Tech-stack
Agent systems | Agentic Workflows | Cost Optimization | Embeddings | Evaluation Frameworks | Language Models | Large Language Models | Latency optimization | Machine Learning | Memory | Multi-Agent | Multi-Agent Systems | Planning | Policy enforcement | Prompt engineering | Python | Red Teaming | Retrieval-Augmented Generation | Safety filters | Tool use | Vector Databases
Education
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