Prompt Engineer
Tasks
- Architect agentic workflows with tool use planning and memory
- Build retrieval-augmented generation pipelines
- Collaborate on prompt model co design and fine tuning
- Conduct technical reviews for LLM application designs
- Define organization standards for LLM applications
- Design prompt templates and instruction structures
- Design retrieval strategies
- Develop evaluation frameworks for prompt quality and agent reliability
- Develop internal tooling and libraries for LLM development
- Document patterns and lessons learned
- Implement safety filters and policy enforcement
- Lead red teaming and robustness improvements
- Mentor engineers on prompt engineering and LLM architecture
- Track latency cost and quality and recommend optimizations
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Embeddings | Evaluation | Fine Tuning | LLM APIs | Memory | Multi-step reasoning | Planning | Policy enforcement | Prompt engineering | Python | Red Teaming | Retrieval-Augmented Generation | Safety filters | Tool use | Vector Databases
Education
Roles
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