Prompt Engineering Architect
Tasks
- Architect agentic workflows
- Build developer tooling and libraries
- Collaborate on prompt model co design and fine tuning
- Conduct technical reviews of LLM designs
- Define LLM application standards
- Design prompt templates and instruction structures
- Develop evaluation frameworks for prompts and agents
- Document patterns and lessons learned
- Establish safety guardrails and policy enforcement
- Implement retrieval-augmented generation pipelines
- Lead red teaming and robustness testing
- Mentor engineers on LLM architecture
- Monitor latency cost and quality trade offs
- Translate research into production guidance
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Frameworks | Agent systems | Chunking | Embeddings | Evaluation | Fine Tuning | Indexing | LLM APIs | Memory | Multi-Agent | Multi-Agent Systems | Planning | Policy enforcement | Prompt design | Python | Red Teaming | Reranking | Retrieval-Augmented Generation | Safety filters | Tool use | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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