Prompt Engineering Architect
Tasks
- Architect agentic systems for tool use planning memory and multi step reasoning
- Build internal tooling and libraries for LLM application development
- Collaborate with model engineering teams on prompt model co design and fine tuning
- Conduct technical reviews of LLM application designs
- Define organization wide standards patterns and reference architectures for LLM based applications
- Design prompt structures instruction templates and retrieval strategies
- Design retrieval augmented generation pipelines for chunking indexing and reranking
- Develop evaluation frameworks for prompt quality agent reliability and task success
- Document patterns anti patterns and lessons learned
- Establish guardrails safety filters and policy enforcement patterns
- Lead red teaming exercises and improve robustness against adversarial inputs
- Mentor engineers and applied scientists on prompt engineering and LLM application architecture
- Track latency cost and quality trade offs and recommend optimizations
Perks/Benefits
Skills/Tech-stack
Agent architecture | Chunking | Embeddings | Evaluation | Fine Tuning | Indexing | LLM APIs | Language Models | Large Language Models | Policy enforcement | Prompt engineering | Python | Red Teaming | Reranking | Retrieval-Augmented Generation | Safety filters | Tool use | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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