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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About KimCC Services Pvt Ltd
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon