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Senior AI Product Experience Designer

Design Human-Centered Experiences for AI Agents and Intelligent Commerce

Senior AI Product Experience Designer

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Mindstix is looking for a Senior AI Product Experience Designer who can translate complex AI capabilities into experiences that feel intuitive, trustworthy, and delightful. You will design chat and copilot interfaces, intelligent workflows, and AI‑first journeys across web and mobile for global retail, CPG, and SaaS brands. This role sits at the sweet spot of UX, interaction design, and AI-perfect for designers who are excited to shape how people collaborate with intelligent systems.

Roles and Responsibilities

Lead design for AI-powered experiences: conversational agents, copilots, smart search, personalization, and decision-support dashboards.
Lead design for AI-powered experiences: conversational agents, copilots, smart search, personalization, and decision-support dashboards.
Lead design for AI-powered experiences: conversational agents, copilots, smart search, personalization, and decision-support dashboards.
Lead design for AI-powered experiences: conversational agents, copilots, smart search, personalization, and decision-support dashboards.
Lead design for AI-powered experiences: conversational agents, copilots, smart search, personalization, and decision-support dashboards.
Conduct user research to understand mental models around AI-expectations, trust, control, and failure tolerance.
Conduct user research to understand mental models around AI-expectations, trust, control, and failure tolerance.
Conduct user research to understand mental models around AI-expectations, trust, control, and failure tolerance.
Conduct user research to understand mental models around AI-expectations, trust, control, and failure tolerance.
Conduct user research to understand mental models around AI-expectations, trust, control, and failure tolerance.
Design interaction patterns for probabilistic systems: handling uncertainty, partial answers, clarifying questions, and graceful failure states.
Design interaction patterns for probabilistic systems: handling uncertainty, partial answers, clarifying questions, and graceful failure states.
Design interaction patterns for probabilistic systems: handling uncertainty, partial answers, clarifying questions, and graceful failure states.
Design interaction patterns for probabilistic systems: handling uncertainty, partial answers, clarifying questions, and graceful failure states.
Design interaction patterns for probabilistic systems: handling uncertainty, partial answers, clarifying questions, and graceful failure states.
Create flows, wireframes, and high‑fidelity UI for chat-based interfaces, multi-modal experiences, and AI-augmented workflows.
Create flows, wireframes, and high‑fidelity UI for chat-based interfaces, multi-modal experiences, and AI-augmented workflows.
Create flows, wireframes, and high‑fidelity UI for chat-based interfaces, multi-modal experiences, and AI-augmented workflows.
Create flows, wireframes, and high‑fidelity UI for chat-based interfaces, multi-modal experiences, and AI-augmented workflows.
Create flows, wireframes, and high‑fidelity UI for chat-based interfaces, multi-modal experiences, and AI-augmented workflows.
Collaborate with Product Managers to define problem statements, success metrics, and experiment designs for AI experiences.
Collaborate with Product Managers to define problem statements, success metrics, and experiment designs for AI experiences.
Collaborate with Product Managers to define problem statements, success metrics, and experiment designs for AI experiences.
Collaborate with Product Managers to define problem statements, success metrics, and experiment designs for AI experiences.
Collaborate with Product Managers to define problem statements, success metrics, and experiment designs for AI experiences.
Partner closely with AI Engineers and Data Scientists to translate model capabilities and constraints into UX (input constraints, latency trade-offs, guardrails).
Partner closely with AI Engineers and Data Scientists to translate model capabilities and constraints into UX (input constraints, latency trade-offs, guardrails).
Partner closely with AI Engineers and Data Scientists to translate model capabilities and constraints into UX (input constraints, latency trade-offs, guardrails).
Partner closely with AI Engineers and Data Scientists to translate model capabilities and constraints into UX (input constraints, latency trade-offs, guardrails).
Partner closely with AI Engineers and Data Scientists to translate model capabilities and constraints into UX (input constraints, latency trade-offs, guardrails).
Design mechanisms for transparency and control: rationale/explanations, citations, feedback loops, content filters, and human override mechanisms.
Design mechanisms for transparency and control: rationale/explanations, citations, feedback loops, content filters, and human override mechanisms.
Design mechanisms for transparency and control: rationale/explanations, citations, feedback loops, content filters, and human override mechanisms.
Design mechanisms for transparency and control: rationale/explanations, citations, feedback loops, content filters, and human override mechanisms.
Design mechanisms for transparency and control: rationale/explanations, citations, feedback loops, content filters, and human override mechanisms.
Run usability tests and structured evaluations specifically for AI features (e.g., output quality, trust, perceived intelligence, task completion).
Run usability tests and structured evaluations specifically for AI features (e.g., output quality, trust, perceived intelligence, task completion).
Run usability tests and structured evaluations specifically for AI features (e.g., output quality, trust, perceived intelligence, task completion).
Run usability tests and structured evaluations specifically for AI features (e.g., output quality, trust, perceived intelligence, task completion).
Run usability tests and structured evaluations specifically for AI features (e.g., output quality, trust, perceived intelligence, task completion).
Contribute to and extend design systems for AI components: message bubbles, suggestions, prompt chips, feedback widgets, loading/skeleton states, etc.
Contribute to and extend design systems for AI components: message bubbles, suggestions, prompt chips, feedback widgets, loading/skeleton states, etc.
Contribute to and extend design systems for AI components: message bubbles, suggestions, prompt chips, feedback widgets, loading/skeleton states, etc.
Contribute to and extend design systems for AI components: message bubbles, suggestions, prompt chips, feedback widgets, loading/skeleton states, etc.
Contribute to and extend design systems for AI components: message bubbles, suggestions, prompt chips, feedback widgets, loading/skeleton states, etc.
Advocate for ethical and inclusive AI experiences, considering bias, accessibility, and diverse user groups.
Advocate for ethical and inclusive AI experiences, considering bias, accessibility, and diverse user groups.
Advocate for ethical and inclusive AI experiences, considering bias, accessibility, and diverse user groups.
Advocate for ethical and inclusive AI experiences, considering bias, accessibility, and diverse user groups.
Advocate for ethical and inclusive AI experiences, considering bias, accessibility, and diverse user groups.

Who Fits Best?

You are excited about designing with AI, not just designing around AI-you see models as collaborators, not black boxes.
You are a broad-spectrum thinker who can zoom out to service blueprints and zoom in to micro‑copy and empty states.
You are empathetic towards users yet analytical about business impact and constraints.
You are comfortable in fast‑paced, ambiguous environments where requirements evolve with learnings from experiments.
You love to prototype-sketch, Figma, or quick interactive demos-to make ideas tangible early.
You are eager to mentor other designers in AI-first thinking and help evolve our AI design patterns.
You are eager to mentor other designers in AI-first thinking and help evolve our AI design patterns.
You are eager to mentor other designers in AI-first thinking and help evolve our AI design patterns.
You are eager to mentor other designers in AI-first thinking and help evolve our AI design patterns.
You are eager to mentor other designers in AI-first thinking and help evolve our AI design patterns.

AI & Design Stack (You May Work With)

You don’t need all of these. Strong core UX skills plus willingness to learn AI tools is what matters.
You don’t need all of these. Strong core UX skills plus willingness to learn AI tools is what matters.
You don’t need all of these. Strong core UX skills plus willingness to learn AI tools is what matters.
You don’t need all of these. Strong core UX skills plus willingness to learn AI tools is what matters.
You don’t need all of these. Strong core UX skills plus willingness to learn AI tools is what matters.
Design & Prototyping Tools
Design & Prototyping Tools
Design & Prototyping Tools
Design & Prototyping Tools
Design & Prototyping Tools
Figma, FigJam, Framer, Miro or similar tools for flows, wireframes, and interactive prototypes.
Figma, FigJam, Framer, Miro or similar tools for flows, wireframes, and interactive prototypes.
Figma, FigJam, Framer, Miro or similar tools for flows, wireframes, and interactive prototypes.
Figma, FigJam, Framer, Miro or similar tools for flows, wireframes, and interactive prototypes.
Figma, FigJam, Framer, Miro or similar tools for flows, wireframes, and interactive prototypes.
Prototyping conversational UIs and micro‑interactions.
Prototyping conversational UIs and micro‑interactions.
Prototyping conversational UIs and micro‑interactions.
Prototyping conversational UIs and micro‑interactions.
Prototyping conversational UIs and micro‑interactions.
AI & Interaction Tools
AI & Interaction Tools
AI & Interaction Tools
AI & Interaction Tools
AI & Interaction Tools
LLM playgrounds (Azure OpenAI Studio, OpenAI Playground, Vertex AI console, etc.) to explore behaviors and shape prompts.
LLM playgrounds (Azure OpenAI Studio, OpenAI Playground, Vertex AI console, etc.) to explore behaviors and shape prompts.
LLM playgrounds (Azure OpenAI Studio, OpenAI Playground, Vertex AI console, etc.) to explore behaviors and shape prompts.
LLM playgrounds (Azure OpenAI Studio, OpenAI Playground, Vertex AI console, etc.) to explore behaviors and shape prompts.
LLM playgrounds (Azure OpenAI Studio, OpenAI Playground, Vertex AI console, etc.) to explore behaviors and shape prompts.
Working with sample conversations, prompt templates, and evaluation rubrics in collaboration with PM/engineering.
Working with sample conversations, prompt templates, and evaluation rubrics in collaboration with PM/engineering.
Working with sample conversations, prompt templates, and evaluation rubrics in collaboration with PM/engineering.
Working with sample conversations, prompt templates, and evaluation rubrics in collaboration with PM/engineering.
Working with sample conversations, prompt templates, and evaluation rubrics in collaboration with PM/engineering.
Collaboration & Delivery
Collaboration & Delivery
Collaboration & Delivery
Collaboration & Delivery
Collaboration & Delivery
Design systems and component libraries for multi-product environments.
Design systems and component libraries for multi-product environments.
Design systems and component libraries for multi-product environments.
Design systems and component libraries for multi-product environments.
Design systems and component libraries for multi-product environments.
Basic understanding of front-end implementation constraints (React, mobile, design-to-code workflows).
Basic understanding of front-end implementation constraints (React, mobile, design-to-code workflows).
Basic understanding of front-end implementation constraints (React, mobile, design-to-code workflows).
Basic understanding of front-end implementation constraints (React, mobile, design-to-code workflows).
Basic understanding of front-end implementation constraints (React, mobile, design-to-code workflows).

Qualifications and Skills

3+ years of experience in Product/UX design with a strong portfolio of shipped digital products; at least some work involving automation, recommendations, or data‑driven experiences.
Strong skills across the end‑to‑end design process: research, problem framing, flows, information architecture, interaction design, visual design, and usability testing.
Experience designing complex, multi-step workflows or enterprise tools (not just marketing sites).
Comfort designing for chat, messaging, or assistant‑style interactions is a strong plus.
Ability to express and defend design rationale clearly to customers, PMs, and engineers.
Understanding of AI capabilities and limitations at a conceptual level (LLMs, hallucinations, RAG, bias, evaluation) or a strong desire to learn quickly.
Experience working across domains such as eCommerce, retail, CPG, EdTech, or SaaS is a plus.

Benefits

Flexible working environment.
Competitive compensation and perks.
Health Insurance Coverage.
Rewards and Recognition.
Accelarated Career Paths.
Sponsored certifications.
Global customers.
Mentorship by industry leaders.

Location

Pune (India) headquarters
Reasonable flexi-timing
Hybrid options

Equal Opportunity Employer

Mindstix is committed to an inclusive and diverse work environment. We do not discriminate based on race, colour, ethnicity, ancestry, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any other legally protected status.

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© 2026 Mindstix Software Labs.
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Mindstix is an AI-native engineering studio for ambitious enterprises. We help brands reinvent commerce experiences, embed AI into products and operations, and modernize cloud-native platforms end to end - from strategy and architecture through UX, full‑stack development, data engineering, and DevOps.

connect@mindstix.com

AI Innovation. Engineered. Accelerated.

© 2026 Mindstix Software Labs.
All Rights Reserved.

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ABOUT US

Mindstix is an AI-native engineering studio for ambitious enterprises. We help brands reinvent commerce experiences, embed AI into products and operations, and modernize cloud-native platforms end to end - from strategy and architecture through UX, full‑stack development, data engineering, and DevOps.

connect@mindstix.com

AI Innovation. Engineered. Accelerated.

© 2026 Mindstix Software Labs.
All Rights Reserved.

Got more questions?

Case Studies

Our Expertise

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Working at Mindstix

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Case Studies

Commerce Studio

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FOLLOW US

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ABOUT US

Mindstix is an AI-native engineering studio for ambitious enterprises. We help brands reinvent commerce experiences, embed AI into products and operations, and modernize cloud-native platforms end to end - from strategy and architecture through UX, full‑stack development, data engineering, and DevOps.

connect@mindstix.com

AI Innovation. Engineered. Accelerated.

© 2026 Mindstix Software Labs.
All Rights Reserved.