LLM Prompt Specialist
Tasks
- Architect agentic systems with tool use and planning
- Build evaluation frameworks for prompt quality and reliability
- Collaborate on prompt and model co design
- Conduct technical reviews of LLM application designs
- Define LLM application standards and reference architectures
- Design prompt structures and instruction templates
- Design retrieval strategies for production use cases
- Develop internal tooling and libraries for LLM development
- Document reusable patterns and lessons learned
- Establish safety filters and policy enforcement patterns
- Implement retrieval-augmented generation pipelines
- Mentor engineers on LLM prompt engineering
- Optimize latency cost and quality trade offs
- Run red teaming exercises for adversarial robustness
Perks/Benefits
- N/A
Skills/Tech-stack
Agent architecture | Embeddings | Evaluation Frameworks | Fine Tuning | Language Models | Large Language Models | Memory | Planning | Policy enforcement | Prompt engineering | Python | Red Teaming | Retrieval-Augmented Generation | Safety filters | Tool use | Vector Databases
Education
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Engineer | LLM Prompt Engineer | Prompt Engineer | Solutions Architect
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