Prompt Engineer
Tasks
- Architect agentic systems with tool use and planning
- Build reusable LLM application tooling
- Collaborate on prompt model co design and fine tuning
- Conduct technical reviews for LLM application designs
- Define organization standards for LLM applications
- Design prompt structures and instruction templates
- Design retrieval strategies for production use cases
- Design retrieval-augmented generation pipelines
- Develop evaluation frameworks for prompts and agents
- Document patterns anti patterns and lessons learned
- Establish safety guardrails and policy enforcement patterns
- Mentor engineers on prompt engineering
- Run red teaming exercises for robustness
- Track latency cost and quality tradeoffs
Perks/Benefits
Skills/Tech-stack
Agent Frameworks | Agent systems | Embeddings | Evaluation Frameworks | Fine Tuning | Indexing | Language Models | Large Language Models | Memory | Multi-Agent | Multi-Agent Systems | Planning | Prompt engineering | Python | Red Teaming | Reranking | Retrieval-Augmented Generation | Safety and compliance | Tool use | Vector Databases
Education
Roles
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