Prompt Engineering
Tasks
- Architect agentic systems with tool use and planning
- Build retrieval-augmented generation pipelines
- Collaborate on prompt model co design and fine tuning
- Conduct technical reviews of LLM designs
- Create developer tooling and libraries for LLM applications
- Define LLM application standards and reference architectures
- Design prompt structures and instruction templates
- Develop evaluation frameworks for prompt and agent reliability
- Document patterns anti patterns and lessons learned
- Establish safety filters and policy enforcement patterns
- Implement retrieval strategies for production use cases
- Lead red teaming and robustness improvements
- Mentor engineers and applied scientists on LLM architecture
- Optimize latency cost and quality trade offs
- Translate LLM research advances into practical guidance
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Chunking | Design Patterns | Deterministic systems | Embeddings | Evaluation Pipelines | Fine Tuning | Indexing | Instruction Templates | LLM APIs | Language Models | Large Language Models | Memory | Non-deterministic systems | Planning | Policy enforcement | Prompt Design Patterns | Prompt design | Prompt engineering | Python | Red Teaming | Reranking | Retrieval-Augmented Generation | Safety filters | Tool use | Vector Databases | Vector Search
Education
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