KimCC Services Pvt Ltd

About the Role

Kim.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 agent

assistance, QA automation, ticket summarization, customer insights, routing, and voice/chat

workflows.

You will work at the intersection of language, product logic, and AI behaviour, shaping

how our AI systems reason, respond, and perform in real-world customer support

environments.

Key Responsibilities

Prompt Design & Optimization

● Craft high-quality prompts, instructions, workflows, and agent behaviours for

LLM-based features.

● Build, iterate, and optimize prompts for reliability, accuracy, tone, safety, and cost.

● Develop evaluation frameworks to test performance across edge cases, failure

modes, and regressions to ensure robustness.

LLM System Development

● Work closely with AI engineers to integrate prompts into chains, RAG systems, or

hybrid models.

● Create prompt-based pipelines for tasks like:

○ Chat/voice summarization

○ Classification & tagging

○ QA automation

○ Disposition prediction

○ Agent-assist suggestions

○ Multi-step reasoning & workflows

Data & 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 and

problem 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 similar

ecosystems.

● 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.