Prompt Engineering Intern
Job title: Prompt Engineering Intern
Location: Remote (Hybrid Optional)
Duration: 2–3 Months | Flexible Start
Stipend: Competitive
Department: Founder's Office / AI Ops
About Quansys AI
Quansys AI is redefining the future of customer service. We build ultra-realistic voice AI agents that automate enterprise-level sales and support workflows using Swarm Intelligence and Small Language Models (SLMs). Our systems power 24/7 customer engagement across fintech, travel, insurance, and more.
We're not building chatbots. We're replacing the BPO stack.
Prompt Engineering Intern
As a Prompt Engineering Intern, you'll work directly with the founding team and technical leads to design, test, and optimize prompt architectures that power our AI agents. You'll learn how real-world LLM systems work, beyond just GPT; and help shape agents that sound natural, perform flawlessly, and solve real customer problems.
Key Responsibilities
Craft and test structured prompts for LLMs (voice + text)
Optimize tone, accuracy, and behavior for different use-cases
Work on Retrieval-Augmented Generation (RAG) pipelines
Build prompt templates for insurance, travel, fintech workflows
Help evaluate LLM responses and debug edge cases
Collaborate with product and dev teams to integrate into production
Who We're Looking For
Strong writing skills + obsession with clarity
Interest in LLMs, prompt tuning, and NLP fundamentals
Python skills (bonus if you’ve played with LangChain, OpenAI APIs)
Curious, resourceful, and self-driven
Students from CS, Linguistics, or Business backgrounds are welcome
What You'll Gain
Work directly on production-grade AI systems
Learn prompt engineering with real user feedback and constraints
Exposure to voice AI, LLM stack, RAG, and embedded memory systems
Potential for full-time conversion based on performance
To Apply:
Send your CV + a short note (max 150 words) on why you're interested in prompt engineering to:
Subject Line: Application - Prompt Engineering Intern