Job Description

Domain: AI Interfaces | LLM Behavior Design | Multimodal UX | Voice Systems

About the Role

We're seeking a visionary

AI Experience Architect

to design how humans engage with intelligent systems -- across voice, screen, camera, and physical environments.

In this role, you won't just write prompts or connect APIs -- you'll

craft the behavior, tone, logic, and flow

of advanced AI agents that

guide, teach, respond, and adapt

to users across complex real-world journeys.

Think

LLM-driven personalities

,

voice-first interfaces

,

emotion-aware AI

, and

real-time feedback systems

. Your work will power conversational flows and intelligent behaviors that feel

natural, empathic, and deeply human

, yet entirely autonomous.

What You'll Do

Architect AI-driven interaction journeys

across voice, text, and screen. Design

modular prompt chains

, memory structures, and LLM workflows for different use cases (e.g., guide, tutor, agent, counselor). Build and test

AI personas

with distinct tones, teaching styles, and escalation logic. Create interaction maps and branching logic for real-world use cases (not just chatbots). Integrate multimodal inputs (voice, face, behavior) into response flows. Collaborate with CV, voice AI, UX, and backend teams to synchronize behavior. Continuously

test and refine user experience

across devices and scenarios. Implement guardrails, context windows, and fallback logic for edge cases.

Key Skills & Experience

You don't need to tick every box -- but we're looking for those who can combine LLM know-how with UX vision and behavioral design.

Required:

2-5 years experience designing with

LLMs (GPT, Claude, Mistral, etc.)

Proven skill in

prompt engineering

, agent design, and tool/plugin orchestration Deep understanding of

context management, instruction tuning

, and LLM limitations Strong grasp of

voice-AI workflows

(Whisper, TTS, STT, latency tuning) Experience crafting

AI personalities

and conversational tone systems Ability to design

flow diagrams, user journeys

, and real-world escalation logic

Bonus:

Built intelligent agents that interact with people via

voice or physical interfaces

Experience with

emotion detection

, behavior tracking, or adaptive learning Background in

game narrative design

,

interactive storytelling

, or

conversational UX

Experience working with tools like LangChain, RAG pipelines, vector stores

You Might Be a Fit If You:

Think of AI as a

living teammate

, not a tool. Love prototyping real-world behavior (not just writing responses). Understand how

context, memory, and tone

shape trust in AI systems. Can bridge the gap between

technical LLM pipelines

and

empathic user experience

. Have worked on chatbots, agents, games, IVR, or AI tutors -- and wanted to go

much deeper

.

Perks & Culture

Build a system that talks, teaches, and learns -- for real

Work with

LLM, CV, IoT, and edge-AI engineers

You'll have

creative control

over AI behavior at scale Shape the

future of human-AI interaction in physical space

Think like a product owner, not just a task executor

Before You Apply...

We're not hiring "prompt writers."

We're looking for

architects of intelligence

-- people who think in flows, feedback loops, and frictionless user emotion.

Application Instructions

Send us your

portfolio or demo

-- voice bots, LLM projects, or any interaction systems Include a short note on:"If you could design a voice AI for a physical space, what would it sound like? What would make it magical?"*

Job Type: Full-time

Pay: ₹13,000.00 - ₹44,000.00 per month

Ability to commute/relocate:

Sardar Nagar, Rajkot, Gujarat: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)
Application Question(s):

Describe one intelligent agent or chatbot you've built. What model did you use? How did you design its behavior/personality? How did it handle memory, escalation, or fallback? Share a real prompt (or chain of prompts) you wrote for a complex task using an LLM.
Briefly explain why it worked well, and how you refined it

What are the 3 most important ingredients in crafting a believable AI personality? Imagine designing an AI receptionist for a public space. It has a camera, speaker, and large screen.
How should it behave when:

A child approaches? A confused adult approaches? No one is nearby? A user keeps repeating the same phrase but the AI doesn't understand.
How should your system respond -- both in message and logic?

Which of the following tools or frameworks have you used in real-world projects?
(Select all that apply)

GPT / Claude API LangChain or Semantic Kernel Whisper / STT / TTS libraries Pinecone / Weaviate / FAISS Dialogflow / Rasa / Voiceflow Emotion detection (DeepFace, MediaPipe, etc.) Figma / Framer / UX tools Design a basic flow for an AI agent that greets users at a futuristic museum.
You can use voice, screen, and camera. Sketch the steps, tone, or interactions.

Location:

Sardar Nagar, Rajkot, Gujarat (Preferred)
Work Location: In person