Prompt Engineering
Tasks
- Architect agentic systems with tool use planning memory multi step 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 LLM application standards patterns reference architectures
- Design prompt structures instruction templates retrieval strategies
- Design retrieval augmented generation pipelines chunking indexing reranking
- Develop evaluation frameworks for prompt quality agent reliability task success
- Document patterns anti patterns and lessons learned
- Implement guardrails safety filters policy enforcement patterns
- Lead red teaming exercises and robustness improvements
- Mentor engineers and applied scientists
- Monitor latency cost quality trade offs and recommend optimizations
- Translate LLM research advances into practical guidance
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic Workflows | Embeddings | Evaluation Frameworks | Fine Tuning | Indexing | Language Models | Large Language Models | Multi-Agent | Multi-Agent Systems | Policy enforcement | Prompt engineering | Python | Red Teaming | Reranking | Retrieval-Augmented Generation | Safety filters | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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