Prompt Engineering Architect
Tasks
- Architect agentic systems with tool use planning and memory
- Build internal tooling and libraries for LLM development
- Collaborate on prompt model co design and fine tuning
- Conduct technical reviews of LLM application designs
- Define organization standards for LLM applications
- Design prompt structures and instruction templates
- Design retrieval strategies for production use cases
- Develop evaluation frameworks for prompt quality and agent reliability
- Document patterns anti patterns and lessons learned
- Establish guardrails safety filters and policy enforcement patterns
- Lead red teaming for robustness to adversarial inputs
- Lead retrieval augmented generation pipeline design
- Mentor engineers on prompt engineering and LLM architecture
- Track latency cost and quality trade offs
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic Workflows | Cost Optimization | Embeddings | Evaluation | Fine Tuning | LLM APIs | Language Models | Large Language Models | Latency optimization | Multi-Agent | Multi-Agent Systems | Policy enforcement | Prompt engineering | Python | Quality optimization | Red Teaming | Retrieval-Augmented Generation | Safety filters | Vector Databases
Education
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