Prompt Engineering Architect
Tasks
- Architect agentic systems with tool use planning memory and reasoning
- Build internal tooling and libraries for LLM application development
- Collaborate on prompt model co design and fine tuning
- Conduct technical reviews of LLM application designs
- Define organization wide LLM standards and reference architectures
- Design prompt structures instruction templates and retrieval strategies
- Design retrieval augmented generation pipelines with chunking indexing and reranking
- Develop evaluation frameworks for prompt quality and agent reliability
- Document patterns and lessons learned
- Establish guardrails safety filters and policy enforcement patterns
- Lead red teaming and robustness improvements
- Mentor engineers on prompt engineering and LLM architecture
- Track latency cost and quality trade offs and recommend optimizations
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agentic Workflows | Embeddings | Evaluation Frameworks | Fine Tuning | Language Models | Large Language Models | Policy enforcement | Prompt engineering | Python | Reranking | Retrieval-Augmented Generation | Safety filters | Vector Databases
Education
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