Prompt Engineer
Tasks
- Architect agentic systems
- Build internal LLM tooling libraries
- Build retrieval-augmented generation pipelines
- Collaborate on prompt model co design
- Conduct technical reviews
- Define LLM application standards
- Design prompt structures and templates
- Design retrieval strategies
- Develop evaluation frameworks
- Document patterns and lessons learned
- Establish safety guardrails
- Lead red teaming exercises
- Mentor engineers and applied scientists
- Track latency cost quality tradeoffs
Perks/Benefits
Skills/Tech-stack
Agent architecture | Agent architectures | Agentic Workflows | Chunking | Deterministic systems | Embeddings | Evaluation Frameworks | Fine Tuning | Indexing | LLM APIs | Language Models | Large Language Models | Memory | Multi-Agent | Multi-agent architectures | Non-deterministic systems | Planning | Prompt engineering | Python | Red Teaming | Reranking | Responsible AI | Retrieval-Augmented Generation | Safety filters | Tool use | Vector Databases
Education
Roles
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