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Lead Conversation Designer (Automotive)

Team: Design / Conversational Experience

Location: Kolkata or Bangalore

Type: Full-time A UI/UX design leadership role centered on conversational AI. Owns the end-to-end in-cabin user experience.

About Mihup

Mihup is an enterprise Voice AI platform powering contact centers and automotive, with our own ASR, NLU, TTS, wake-word, Private LLM, and G2P models built for India's linguistic reality — 20+ Indian languages with heavy Hindi-English code-mixing, accents, and dialects. We serve 500+ enterprises, our in-car assistant ships with OEMs like Tata Motors, and in early 2026 we partnered with Qualcomm to run voice AI directly on-device on the Snapdragon Digital Chassis. We build our models in-house, end to end.

The Role

We're hiring a design leader to own the entire conversational and interaction experience of Mihup's in-car voice assistant. You'll define who the assistant is, how it talks, and how voice works together with the screen and the wider cabin — so that every interaction feels natural, effortless, safe, and delightful for drivers and passengers, across 20+ Indian languages.

This is a UI/UX role at its core, applied to conversational AI. You'll blend conversation design, voice UX, and multimodal interaction design, and you'll be the person responsible for enhancing the in-cabin experience end to end — from the assistant's persona and dialog to onboarding, discovery, and everything a user hears and sees.

If you have a UI/UX pedigree and you've shipped a conversational AI product, and you want to shape how people talk to their cars, this is that role.

What You'll Do

• Design end-to-end conversation flows for in-car tasks — navigation, media, climate, calls, vehicle controls, and proactive assistance — including turn-taking, prompts, confirmations, and graceful error recovery and repair.
• Define and steward the assistant's persona and voice — its personality, tone, and character — and keep it consistent and culturally natural across 20+ Indian languages and code-mixed speech (transcreation, not literal translation).
• Own the multimodal in-cabin experience: coordinate voice with the IVI screen, instrument cluster, HUD, and ambient/haptic feedback so the whole cabin feels like one coherent experience.
• Design for safety and low cognitive load — hands-free, eyes-free interaction that minimizes driver distraction, following automotive HMI and driver-distraction guidelines.
• Craft all conversational content and microcopy — prompts, responses, onboarding, discovery, and help — and the patterns and guidelines others follow.
• Design the full user journey: onboarding, feature discovery (helping users learn what they can say), personalization, and proactive, context-aware assistance.
• Partner tightly with the GenAI/LLM, NLU, and TTS teams — shape system prompts and behavior, define intents and entities from a UX lens, and guide how the assistant should sound (pacing, prosody, expressiveness).
• Run user research and usability testing — including in-vehicle or simulated-driving sessions — analyze real conversation logs to find friction, and iterate continuously.
• Prototype and communicate designs — flows, sample dialogs, and interactive prototypes — and align OEM / Tier-1 partners and internal teams around them.
• Establish the conversation-design system: patterns, standards, and documentation that scale across features, languages, and vehicle programs.

KPIs You'll Own

• Task-completion / success rate for in-cabin interactions
• User satisfaction (CSAT) and perceived naturalness and ease of use
• Driver-distraction and safety measures (glance time, hands-free success)
• Adoption and engagement — feature discovery and repeat use
• Error-recovery / repair success — how gracefully misunderstandings are handled
• Consistency and quality of the experience across languages

What We're Looking For (Required)

• A strong UI/UX design pedigree with hands-on experience designing a conversational AI product — voice assistant, chatbot, or similar.
• Proven conversation design / VUI design skills: dialog flows, prompt and response writing, persona design, and error handling.
• Excellent writing and microcopy craft — conversation design is fundamentally writing.
• Solid UX fundamentals: user research, usability testing, information architecture, and interaction design.
• Experience designing multimodal experiences (voice together with screen).
• A working understanding of conversational AI / LLM capabilities and limits, enough to design feasible, grounded experiences.
• A portfolio demonstrating shipped conversational or voice experiences.
• The ability to lead design direction and collaborate across engineering, product, and external partners.

Nice to Have (Preferred)

• Automotive / in-car HMI experience and familiarity with driver-distraction and cognitive-load guidelines.
• Designing across multiple languages / localization — ideally Indic and code-mixed — including transcreation of persona and tone.
• Familiarity with prototyping and conversation-design tools (Figma; Voiceflow or similar).
• Experience with LLM-based / generative assistants — prompt design and guardrails from a UX perspective.
• A track record collaborating closely with ASR, NLU, and TTS teams.

Why This Role

• Own the whole experience. You define the persona, the conversation, and the entire cabin interaction of an assistant shipping with OEMs like Tata Motors — not a single screen.
• Shape a new design space. How millions of drivers and passengers talk to their cars, by voice, across 20+ Indian languages, is largely uncharted.
• A rare design mandate: voice-first, multimodal, safety-critical, and multilingual — with real users in real cars.
• Design meets frontier GenAI, with an engineering team that can actually build what you design.

Mihup is a voice AI company building in-car voice assistance and sound technology for the automotive industry. We power intelligent voice experiences for leading OEMs.

Its solutions integrate automation, real-time assistance, and analytics at scale to enhance accuracy, efficiency, and agility in enterprise operations. Mihup.ai also serves organizations across BFSI, IoT, and other sectors, delivering robust conversation intelligence that supports performance and innovation. With over 1 billion interactions powered, Mihup.ai helps businesses turn voice data into measurable business outcomes and competitive advantage. The company offers a dynamic environment for professionals interested in advanced AI applications in automotive and other industries.

Role Description The AI Engineer will design, develop, and optimize machine learning models and algorithms that power Mihup.ai’s Voice AI and conversation intelligence solutions. Day-to-day responsibilities include building and refining pattern recognition systems, implementing and training neural networks, and developing NLP-based features that improve speech understanding and real-time assistance. The role involves collaborating with product, data, and engineering teams to integrate AI models into production-grade software, monitor performance, and iterate based on user data and business needs. The AI Engineer will also contribute to research, prototyping, and documentation to keep the platform aligned with best practices in AI and scalable software development. This is a full-time, on-site role based in Kolkata/ Bangalore

Qualifications

• Strong foundation in Computer Science, including data structures, algorithms, and software engineering principles.
• B. Tech, M.Tech, PHD from top tier institutes like IIT, IISC, ISI, NIT, IIIT is mandatory.
• Demonstrated experience with Pattern Recognition and Neural Networks for real-world applications.
• Hands-on expertise in Natural Language Processing (NLP), especially in speech, dialogue, or text analytics.
• Proficiency in Software Development using languages such as Python, Java, or similar, and familiarity with version control and CI/CD.
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries for NLP and deep learning.
• Experience working with large-scale data pipelines, model evaluation, and performance optimization.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
• Ability to work collaboratively in cross-functional teams, communicate technical concepts clearly, and document solutions effectively.
• Background in voice technologies, speech recognition, or conversational AI is a strong plus.