Prompt Engineering
Tasks
- Architect agentic systems with tool use planning memory and reasoning
- Build internal tooling and libraries for LLM application development
- Collaborate on prompt model co design and fine tuning opportunities
- Conduct technical reviews for LLM application designs
- Define organization wide LLM standards and reference architectures
- Design prompt structures instruction templates and retrieval strategies
- Design retrieval augmented generation pipelines with chunking indexing and reranking
- Develop evaluation frameworks for prompt quality and agent reliability
- Document patterns anti patterns and lessons learned
- Establish guardrails safety filters and policy enforcement patterns
- Lead red teaming exercises for adversarial robustness
- Track latency cost and quality trade offs and recommend optimizations
- Translate research advances into practical engineering guidance
Perks/Benefits
Skills/Tech-stack
Agent Frameworks | Embeddings | Evaluation Pipelines | Fine Tuning | Language Models | Large Language Models | Policy Compliance | Prompt design | Python | Red Teaming | Reranking | Responsible AI | Retrieval-Augmented Generation | Safety and Policy | Safety and policy compliance | Vector Databases
Education
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