Prompt Engineering Architect
Tasks
- Architect agentic systems with tool use and planning
- Build internal tooling and libraries for LLM development
- Conduct technical design reviews
- Define LLM application standards and patterns
- Design prompt structures and instruction templates
- Develop evaluation frameworks for prompts and agents
- Document patterns and lessons learned
- Establish safety filters and policy enforcement
- Implement retrieval-augmented generation pipelines
- Lead prompt model co design and fine tuning opportunities
- Lead red teaming and robustness improvements
- Mentor engineers in prompt engineering
- Track latency cost and quality tradeoffs
- Translate research into practical guidance
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Cost Optimization | Embeddings | Evaluation Frameworks | Fine Tuning | LLM APIs | Language Models | Large Language Models | Latency optimization | Multi-step reasoning | Policy enforcement | Prompt engineering | Python | Red Teaming | Reranking | Retrieval-Augmented Generation | Safety filters | Tool use | Vector Databases | Vector indexing
Education
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