Prompt Engineer
Tasks
- Architect agentic systems with tool use and memory
- Build LLM developer tooling and libraries
- Build retrieval-augmented generation pipelines
- Collaborate on prompt model co design and fine tuning
- Conduct technical reviews of LLM designs
- Define LLM application standards
- Design prompt structures and instruction templates
- Design retrieval strategies for production use cases
- Develop evaluation frameworks for prompt quality and reliability
- Document patterns and lessons learned
- Establish guardrails and safety filters
- Implement chunking indexing and reranking
- Lead red teaming exercises
- Mentor engineers and applied scientists
- Track latency cost and quality trade offs
- Translate LLM research into practical guidance
Perks/Benefits
Skills/Tech-stack
Agent Frameworks | Cost Optimization | Embeddings | Evaluation Frameworks | LLM APIs | Language Models | Large Language Models | Latency optimization | Policy enforcement | Prompt engineering | Python | Quality Measurement | Red Teaming | Retrieval-Augmented Generation | Safety filters | Vector Databases
Education
Roles
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