We are seeking a Gen-AI Prompt & Context Engineer to design and operate end-to-end LLM workflows, including prompt strategy, retrieval pipelines, multi-agent orchestration, and production observability. The role involves building scalable AI automation using Python, CrewAI multi-agent systems, and n8n workflows while ensuring safety, governance, and performance.

Key Responsibilities

• Design and optimize prompts, templates, and prompt libraries for consistent AI outputs
• Build context pipelines (RAG, embeddings, chunking, hybrid search) and maintain knowledge freshness
• Develop and orchestrate multi-agent workflows using CrewAI and integrate external tools/APIs
• Create automated LLM workflows in n8n with retries, approvals, and monitoring
• Build Python services, evaluation harnesses, and metrics pipelines for LLM performance
• Implement guardrails, RBAC, audit trails, and compliance-aligned AI governance
• ...