Conversation Designer / Prompt Engineer (AI Agent Experience)

at Agentic Universe

Conversation Designer / Prompt Engineer (AI Agent Experience)

Agentic Universe

Company

Home

Conversation Designer / Prompt Engineer (AI Agent Experience)

at Agentic Universe

Posted by Anubhav Kumar Rai

0 - 2 yrs

₹4.2L - ₹6L / yr

Bengaluru (Bangalore)

Skills

Prompt engineering

Agentic AI

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?

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?

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Full Stack Developer - Averlon

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About Agentic Universe

Founded :

2022

Type :

Product

Size :

20-100

Stage :

Raised funding

About

Agentic Universe - AI Agents that run outcomes for your teams

Company social profiles

N/A

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