Conversation Designer / Prompt Engineer (AI Agent Experience)
Location: Bangalore
Experience: Fresher-2 years
Type: Full-time | On-site
Open Roles: 2
Start: Immediate
Why this role exists
Most AI agents fail not because of models—
but because they sound wrong, behave inconsistently, and don’t handle real conversations.
This role exists to own the craft layer:
- Make agents sound natural, human, and trustworthy
- Make them reliable across real-world conversations
- Make them fast to deploy without endless iteration cycles
What you’ll do
You will not just write prompts.
You will design conversational systems that perform in production.
1. Own conversational quality across deployments
- Achieve 80%+ quality scores on insurer QA audits
- Design conversations across:
- Hindi
- English
- 3+ regional languages
- Ensure agents sound:
- Natural
- Context-aware
- Consistent across interactions
2. Build a reusable prompt and workflow library
- Reduce new workflow launch time from 3 weeks → 5 days
- Create standardized:
- Prompt templates
- Conversation flows
- Objection handling patterns
- Ensure new deployments do not start from scratch
3. Design human-like conversational behavior
- Move agents from:
- Scripted → adaptive
- Robotic → human-like
- Focus on:
- Tone
- Pauses
- Context retention
- Personalization
- The output should feel like:
- “This sounds human”
- not
- “This sounds like a bot”
4. Improve agent performance continuously
- Analyze:
- Call transcripts
- Failure cases
- Drop-offs
- Iterate prompts and flows based on real usage data
- Ensure performance improves across:
- Conversion
- Resolution
- Customer experience
5. Reduce deployment friction
- Minimize back-and-forth during agent setup
- Create clarity in:
- Requirements
- Conversation logic
- Expected outcomes
- Enable faster, cleaner deployments with fewer iterations
6. Align conversations with business outcomes
- Design conversations that drive:
- Conversions
- Retention
- Resolution
- Ensure prompts are not just “good”—they are effective
What success looks like
- QA scores consistently ≥ 80% across languages
- New workflows go live in ≤ 5 days
- Agents sound natural and human-like
- Iteration cycles reduce significantly
- Conversation quality directly improves business outcomes
Who you are
- You have 0-2 years of experience in conversation design, content, or AI prompting
- You have worked on:
- Chatbots / voice bots / conversational systems
- You understand:
- Language nuances
- User psychology
- Real-world conversation flows
- You care about:
- Detail
- Quality
- Real user experience
What will make you stand out
- Experience working with:
- Multilingual conversational systems
- Strong writing and structuring ability
- Familiarity with:
- LLM prompting techniques
- Conversation analytics
- Ability to debug:
- Why a conversation failed, not just rewrite it
Compensation
Upto ₹50,000/month (fixed)
(Aligned with role scope and impact expectations)
Why join
- You will define how AI agents actually feel to customers
- Your work directly impacts:
- Customer experience
- Conversion rates
- Product perception
- You will build the craft layer of an AI platform
What this role is not
- Not generic content writing
- Not static script creation
- Not disconnected from real user interactions
What this role is
- A designer of conversational systems
- A builder of human-like AI experiences
- A driver of quality and performance in AI agents
One question to self-evaluate
Can you design conversations that consistently feel human, handle edge cases, and drive outcomes at scale?
Shubham Vishwakarma
Full Stack Developer - Averlon
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon