Prompt Engineer

About the RoleKim.cc is building the AI-powered BPO of the future. As a Prompt Engineer, you will design,refine, and optimize prompt systems that power our LLM-driven features—across agentassistance, QA automation, ticket summarization, customer insights, routing, and voice/chatworkflows.You will work at the intersection of language, product logic, and AI behaviour, shapinghow our AI systems reason, respond, and perform in real-world customer supportenvironments.Key ResponsibilitiesPrompt Design & Optimization● Craft high-quality prompts, instructions, workflows, and agent behaviours forLLM-based features.● Build, iterate, and optimize prompts for reliability, accuracy, tone, safety, and cost.● Develop evaluation frameworks to test performance across edge cases, failuremodes, and regressions to ensure robustness.LLM System Development● Work closely with AI engineers to integrate prompts into chains, RAG systems, orhybrid models.● Create prompt-based pipelines for tasks like:○ Chat/voice summarization○ Classification & tagging○ QA automation○ Disposition prediction○ Agent-assist suggestions○ Multi-step reasoning & workflowsData & Evaluation● Analyze call/chat transcripts to identify patterns and refine prompt logic.● Run A/B tests, prompt benchmarks, and track quality metrics (accuracy,hallucinations, latency).● Document prompt changes, rationale, and performance deltas.Cross-functional Collaboration● Partner with product, ops, and engineering teams to understand workflows andproblem statements.● Translate business requirements into robust prompt systems.● Build internal frameworks, libraries, and best practices for prompt engineering.What You Should Bring● Strong command over language, reasoning, and structured communication.● Experience working with LLMs, prompt engineering, or NLP-based products.● Familiarity with OpenAI APIs, Anthropic, HuggingFace, LangChain, or similarecosystems.● Analytical mindset with the ability to test, measure, and improve AI outputs.● Ability to think through real-world workflows and edge cases.● Comfort working in a fast-paced startup environment.Nice to Have● Experience with Python for prototyping or evaluation automation.● Understanding of customer support workflows or BPO operations.● Exposure to RAG, embeddings, or LLM fine-tuning.● Prior work in conversational AI, chatbots, or dialogue design.