Prompt Engineering Architect
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
- Conduct technical reviews of LLM application designs
- Define LLM application 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 agent reliability and task success
- Document patterns anti patterns and lessons learned
- Establish guardrails safety filters and policy enforcement patterns
- Lead red teaming and improve robustness against adversarial inputs
- Mentor engineers on prompt engineering and LLM architecture
- Track latency cost and quality trade offs and recommend optimizations
Perks/Benefits
Skills/Tech-stack
Agent Frameworks | Chunking | Embeddings | Evaluation Pipelines | Fine Tuning | Indexing | LLM APIs | Prompt engineering | Python | Reranking | Responsible AI | Retrieval-Augmented Generation | Vector Databases
Education
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