Prompt Engineering
Tasks
- Architect agentic systems with tool use planning memory and multi step reasoning
- Build internal tooling and libraries for LLM application development
- Collaborate with model engineering teams on prompt model co design and fine tuning
- Conduct technical reviews of LLM application designs
- Define organization wide standards patterns and reference architectures for LLM based applications
- Design prompt structures instruction templates and retrieval strategies
- Design retrieval-augmented generation pipelines
- 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 exercises for adversarial robustness
- Mentor engineers and applied scientists
- Track latency cost and quality trade offs and recommend optimizations
Perks/Benefits
- Career growth potential
- H1B transfer support
- Long-term engagement
- Remote work
- Technical coding assessment required
Skills/Tech-stack
Agent systems | Agentic Workflows | Embeddings | Evaluation Pipelines | Fine Tuning | Language Models | Large Language Models | Multi-Agent | Multi-Agent Systems | Policy enforcement | Prompt engineering | Python | Retrieval-Augmented Generation | Safety filters | Tool use | Vector Databases
Education
Roles
AI | AI Engineer | Architect | Engineer | Engineering Architect | Prompt Engineering Architect
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