Prompt Engineering Architect
Tasks
- Architect agentic systems with tool use planning memory and reasoning
- Build internal LLM tooling and libraries
- Collaborate on prompt model co design and fine tuning
- Conduct technical reviews across product teams
- Define LLM application standards
- Design prompt structures and instruction templates
- Design retrieval strategies and retrieval augmented generation pipelines
- Develop evaluation frameworks for prompt quality and agent reliability
- Document patterns and anti patterns
- Establish safety filters and policy enforcement patterns
- Lead red teaming and robustness exercises
- Mentor engineers and applied scientists
- Monitor latency cost and quality trade offs
Perks/Benefits
- N/A
Skills/Tech-stack
Agent architectures | Agentic Workflows | Embeddings | Evaluation Frameworks | Fine Tuning | Indexing | LLM APIs | Language Models | Large Language Models | Memory | Multi-Agent | Multi-agent architectures | Planning | Policy enforcement | Prompt engineering | Python | Red Teaming | Reranking | Retrieval-Augmented Generation | Safety filters | Tool use | Vector Databases
Education
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