conversational ai engineer

Jumppace PVT LTD

WE&rsquo;RE HIRING: AI DEVELOPER (AGENTIC AI &amp; CHATBOTS) If you&rsquo;re excited about building real-world AI systems at scale, we&rsquo;d love to hear from you.Gender: MaleExperience: Mid level to Senior level (preferable)Location: KarachiJumppace Pvt. Ltd. is looking for a skilled AI Developer to help us build intelligent Agentic AI systems, chatbots, and automation workflows.JOB ROLE: * Design and develop AI agents and chatbot systems* Integrate conversational AI with APIs and databases* Build automation flows using advanced AI frameworks* Continuously improve accuracy, response quality, and user experienceREQUIREMENTS: * Hands-on experience with OpenAI APIs, LangChain, RAG, LLMs* Strong programming skills in Python and/or Node.js* Familiarity with NLP, prompt chaining, and AI-driven automation* Strong problem-solving mindset and experimentation skillsAdditional Skills:* Experience with n8n, Make, Voiceflow, or similar automation platformsJob Type: Full-timePay: Rs1.00 - Rs2.00 per monthWork Location: In person

AI Developer

Oracle

<div>Key Responsibilities
LLM Application Engineering
<ul><li>Architect and implement scalable LLM-driven applications, leveraging advanced prompt engineering, model customization, and inference optimization.
</li><li>Design agentic solutions managing intent routing and workflow orchestration using frameworks such as LangGraph.
</li><li>Develop and optimize Retrieval Augmented Generation (RAG) systems, including chunking, embedding selection, vector indexing, and ranking.
</li><li>Drive robust prompting patterns for function calling, considering cost, latency, and accuracy trade-offs.
</li><li>Integrate with secure microservices, enforce data schemas and metadata lineage, and connect with MCP-compatible tools.
</li><li>Implement evaluation datasets, automate regression testing, and monitor quality, cost, and safety of deployed AI systems.
</li><li>Establish guardrails for Responsible AI, such as PII handling, access control, and policy enforcement.
</li></ul>Machine Learning &amp; Applied AI Science
<ul><li>Design, train, and deploy machine learning models; develop end-to-end ML pipelines.
</li><li>Monitor and optimize model performance, detect data drift, and retrain models as needed.
</li><li>Champion best practices in data acquisition, feature engineering, and model curation.
</li><li>Lead proof-of-concept AI experiments and publish best practices for the organization.
</li></ul>LLMOps &amp; Platform Engineering
<ul><li>Manage versioning for prompts, models, and pipelines; oversee A/B testing and rollouts.
</li><li>Instrument tracing, telemetry, and robust exception handling for agentic workflows.
</li><li>Steer integration and interoperability with Oracle Fusion products and cloud infrastructure.
</li></ul>Evaluation &amp; Quality
<ul><li>Develop and maintain rigorous evaluation frameworks, key performance indicators, and benchmarking strategies for model performance, safety, and business value alignment.
</li></ul>Responsible AI &amp; Security
<ul><li>Serve as a technical authority to ensure privacy, model governance, Responsible AI, and operational security throughout the ML lifecycle.
</li></ul>Conversational UX &amp; Domain Leadership
<ul><li>Define standards and mentor engineers for multi-turn dialog systems and conversational interfaces.
</li>Act as a domain expert, influencing technical direction, reviewing code, and fostering a culture of innovation and knowledge sharing in agile teams. 
<li>
</li></ul><div></div>Essential Skills
<ul><li>Advanced expertise in Python (and/or Java) and modern ML/AI libraries (TensorFlow, PyTorch, etc.).
</li><li>Deep experience with large language models (OpenAI, Google, proprietary/foundation models), prompt engineering, and custom model deployment.
</li><li>Mastery of cloud enterprise ecosystems (with Oracle Cloud and Fusion preferable); strong grasp of enterprise-class observability, governance, and security.
</li><li>Demonstrated skills in architecting scalable AI/ML pipelines and deploying production-ready enterprise applications.
</li><li>Strong background in conversational AI and NLP, including dialog management and customer-centric natural language experiences.
</li><li>Proven ability to enforce best practices in responsible, safe, and secure AI development.
</li><li>Exceptional leadership, mentoring, and technical communication skills.
</li>Track record of influencing technical direction and driving adoption of advanced AI techniques in multidisciplinary teams. 
<li>
</li></ul><div></div>Qualifications
Required:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related quantitative discipline
</li><li>8+ years of industry experience in software or AI/ML development, including at least 3 years in LLMs or deep learning.
</li><li>Demonstrable experience with modern AI/ML frameworks and deploying models in cloud production environments.
</li><li>Experience with enterprise-level data pipelines, versioning, CI/CD, and ML/MLOps tooling (e.g., OCI Data Science, Kubeflow, MLflow).
</li><li>Hands-on expertise integrating AI with microservices, enterprise APIs, and secure data architectures.
</li><li>Deep understanding of Responsible AI principles, privacy, and model governance.
</li></ul>Preferred:
<ul><li>Experience with Oracle Cloud Infrastructure (OCI) and Oracle Fusion applications.
</li><li>Prior design and implementation of agentic workflows and Retrieval Augmented Generation (RAG) systems.
</li><li>Strong publication record, patents, or industry contributions in applied AI.
</li><li>Experience with productionizing multi-turn conversational UX and building enterprise AI solutions at scale.
</li>Active participation in AI/ML research or open-source communities. 
<li>
</li></ul><div></div>Why Join Our Team?
<ul><li>Shape the future of Oracle's AI solutions driving global business value.
</li><li>Work on impactful, immediate solutions incorporated into Oracle&rsquo;s product suite.
</li><li>Lead transformative, complex AI initiatives in a highly supportive and innovative environment.
</li><li>Collaborate with top AI engineers and scientists in a culture that encourages continuous learning and growth.</li></ul></div>
 <div>As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems.</div>

AI Principal Developer

Decagon

<div>
 
 About Decagon
 
 
 
 Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
 
 
 Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
 
 
 We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values&mdash;
 
 customers are everything
 
 ,
 
 relentless momentum
 
 ,
 
 winner&rsquo;s mindset
 
 , and
 
 stronger together
 
 &mdash;shape how we work and grow as a team.
 
 
 
 About The Team
 
 
 
 The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon&rsquo;s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.
 
 
 Our mission is to deliver magical support experiences &mdash; AI agents working alongside human agents to help users resolve their issues.
 
 
 
 About The Role
 
 
 
 On the Agent Engineering team, you&rsquo;ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You&rsquo;ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users&rsquo; needs with reliable and intuitive AI agents.
 
 
 Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
 </li>
 <li>
 Identify cross-customer trends that guide the evolution of Decagon&rsquo;s agent building platform and research efforts
 </li>
 <li>
 Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers
 
 
 </li>
 </ul>
 
 Your background looks something like this
 
 
 
 <ul>
 <li>
 Have 2+ years of industry experience in software engineering
 </li>
 <li>
 Proficiency with Python, Typescript and asynchronous programming
 </li>
 <li>
 A high degree of comfort digging into system failures within deep technology stacks using any tool necessary
 
 
 </li>
 </ul>
 
 Even better
 
 
 
 <ul>
 <li>
 Prior experience working with multi-modal models
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical, dental, and vision benefits
 </li>
 <li>
 Take what you need vacation policy
 </li>
 <li>
 Daily lunches, dinners and snacks in the office to keep you at your best
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 $185K &ndash; $275K + Offers Equity
</div>

Agent Software Engineer

ibex

<div>
 We are seeking a highly skilled and creative
 
 AI Agent Conversation Designer/Engineer
 
 to join our team and help shape the next generation of customer experience through intelligent virtual agents. This role sits at the intersection of
 
 conversation design, user experience, AI/NLP technologies, and CX strategy
 
 . You will be responsible for crafting natural, engaging, and effective conversations for AI-powered customer service bots, and for building the logic, flows, and backend integrations that power them.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and optimize conversational experiences across text, voice, and multimodal AI agents that serve customer-facing use cases.
 </li>
 <li>
 Collaborate with CX, product, and engineering teams to define intents, utterances, and dialogue flows aligned to business goals and customer needs.
 </li>
 <li>
 Use tools such as Dialogflow, Microsoft Bot Framework, Rasa, Kore.ai, or proprietary platforms to develop, test, and deploy virtual agents.
 </li>
 <li>
 Write natural, human-like copy that reflects brand voice while supporting task completion, escalation, and error handling.
 </li>
 <li>
 Analyze conversational data to continuously improve agent performance&mdash;tuning intents, training datasets, and optimizing flows.
 </li>
 <li>
 Integrate back-end systems and APIs to allow bots to handle dynamic requests (e.g., checking account status, processing returns, scheduling).
 </li>
 <li>
 Develop test cases and perform QA to ensure smooth, bug-free performance in production environments.
 </li>
 <li>
 Stay up to date with NLP, LLMs, and conversational AI innovations to inform ongoing development and optimization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Linguistics, UX Design, Human-Computer Interaction, AI, or a related field. Or equivalent on the job experience
 </li>
 <li>
 3+ years of experience in conversation design, chatbot development, or NLP engineering.
 </li>
 <li>
 Proficiency in one or more bot development platforms: Google Dialogflow, AWS Lex, Rasa, Kore.ai, Cognigy, etc.
 </li>
 <li>
 Familiarity with programming languages (e.g., Python, JavaScript) and basic API integration.
 </li>
 <li>
 Understanding of machine learning and natural language understanding (NLU) principles.
 </li>
 <li>
 Strong grasp of UX best practices, persona development, and user-centric design.
 </li>
 <li>
 Experience with LLM integration and prompt engineering (e.g., OpenAI, Anthropic, Cohere) is a strong plus.
 </li>
 <li>
 Excellent problem-solving, collaboration, and communication skills.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience designing for voice assistants (e.g., Alexa, Google Assistant).
 </li>
 <li>
 Knowledge of analytics platforms (e.g., Voiceflow, Dashbot, Botanalytics) for bot performance tracking.
 </li>
 <li>
 Familiarity with customer service domains such as e-commerce, telecom, healthcare, or fintech.
 </li>
 <li>
 Background in multilingual or multicultural experience design.
 </li>
 </ul>
</div>

AI Conversation Designer

Yubi

<div>
 
 We are looking for a Conversational Analyst with 2-3 years of experience in designing and enhancing chat and voice user experiences. This role requires a deep understanding of user context, a strong focus on quality assurance, and a passion for creating impactful conversational solutions. The ideal candidate will play a critical role in identifying problems, testing conversational flows, and ensuring a seamless user journey before deployment.
 
 
 Over time, the selected candidate will gain exposure to advanced technologies, including Large Language Models (LLMs), Bhasa Infrastructure, Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) systems.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Context Analysis and Problem Solving:
 </li>
 <li>
 Understand user needs, identify issues in existing conversational flows, and propose enhancements to improve the overall user experience.
 </li>
 <li>
 Testing and Validation:
 </li>
 <li>
 Rigorously test chat and voice user experiences for functionality, usability, and contextual accuracy before they are deployed to production.
 </li>
 <li>
 Collaboration with Data Scientists:
 </li>
 <li>
 Work closely with data scientists to analyze conversational data, identify patterns, and improve conversational AI models and flows.
 </li>
 <li>
 Conversation Flow Optimization:
 </li>
 <li>
 Analyze and refine conversational designs to ensure natural and seamless interactions for both chat and voice-based systems.
 </li>
 <li>
 Data Analysis and Reporting:
 </li>
 <li>
 Use analytics tools to monitor and report on user behavior and feedback, offering actionable insights to improve conversation designs.
 </li>
 <li>
 Learning and Development:
 </li>
 <li>
 Gradually build expertise in advanced conversational AI technologies, including LLMs, ASR, TTS, and the Bhasa infrastructure.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 
 Key Skills and Qualifications
 
 
 <ul>
 <li>
 2-3 years of experience working in conversational design, chatbot/voice assistant testing, or a related field.
 </li>
 <li>
 Strong understanding of chat and voice UX principles and best practices.
 </li>
 <li>
 Hands-on experience in testing conversational flows and troubleshooting user interaction issues.
 </li>
 <li>
 Analytical mindset with the ability to interpret user behavior and provide actionable insights.
 </li>
 <li>
 Excellent communication and collaboration skills to work effectively with data scientists and technical teams.
 </li>
 <li>
 Knowledge or exposure to conversational AI tools and platforms (e.g., Dialogflow, Rasa, or similar).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Nice-to-Have Skills
 
 
 <ul>
 <li>
 Familiarity with Large Language Models (LLMs) and their applications.
 </li>
 <li>
 Exposure to technologies such as Automatic Speech Recognition (ASR) and Text-to-Speech (TTS).
 </li>
 <li>
 Understanding of the Bhasa infrastructure or similar conversational AI ecosystems.
 </li>
 <li>
 Basic programming or scripting knowledge for prototyping/testing purposes.
 </li>
 </ul>
 
 
</div>

AI Product Analyst

Maaden

<div>
 
 
 Position Overview:
 
 
 
 
 
 
 We are seeking a highly skilled and experienced
 
 Senior AI Engineer
 
 to drive innovation and digital transformation across the organization. This role requires deep expertise in the
 
 Microsoft Azure AI ecosystem
 
 , with a focus on designing, developing, and deploying advanced, enterprise-grade AI solutions. The ideal candidate will translate complex business requirements into scalable AI applications, leveraging cutting-edge technologies such as Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
 
 
 
 
 
 
 
 
 
 Core Responsibilities:
 
 
 
 
 
 
 The Senior AI Engineer will be responsible for the end-to-end lifecycle of AI solutions, from design to deployment, optimization and support.
 
 
 
 
 <ul>
 <li>
 
 AI Solution Design and Implementation:
 
 Design and implement AI/ML solutions using Azure AI services (e.g., Azure AI Foundry) for enterprise-scale deployments.
 </li>
 <li>
 
 Generative AI and LLM Development:
 
 Fine-tune, deploy, and manage LLMs (e.g., GPT-4o, GPT-3.5) for business-specific use cases, including text generation, summarization, and intelligent automation.
 </li>
 <li>
 
 Agentic AI and Workflow Orchestration:
 
 Create and orchestrate complex AI workflows using Agentic AI frameworks (e.g., Azure AI Foundry, Autogen, CrewAI, LangGraph, Semantic Kernel) and tools like Azure Functions and Logic Apps for autonomous task execution and decision-making.
 </li>
 <li>
 
 Conversational AI and Integration:
 
 Build and deploy intelligent conversational AI solutions using the Microsoft Bot Framework and Azure Bot Service, ensuring seamless integration with platforms like Microsoft Teams and enterprise systems.
 </li>
 <li>
 
 Low-Code/No-Code Integration:
 
 Integrate AI capabilities into the Power Platform (Power Apps, Power Automate, Copilot Studio) to enable rapid, low-code application development and embed AI into business workflows.
 </li>
 <li>
 
 Data and Pipeline Management:
 
 Develop and manage Retrieval-Augmented Generation (RAG) pipelines integrated with enterprise data sources (e.g., SharePoint, Oracle) and ensure high-quality data modeling, cleaning, and fine-tuning for optimal AI model performance.
 </li>
 <li>
 
 Performance and Security:
 
 Ensure the scalability, security, and performance of all deployed Azure AI solutions, including containerization and orchestration using technologies like Docker and Azure Kubernetes Service (AKS).
 </li>
 <li>
 
 Stakeholder and Requirements Management:
 
 Proactively communicate with multiple stakeholders to capture accurate requirements, ensuring timely communication and comprehensive fulfillment of project needs.
 </li>
 <li>
 
 Cross-Functional Collaboration:
 
 Collaborate effectively with cross-functional teams throughout the full Software Development Life Cycle (SDLC) to integrate AI capabilities, minimize dependencies, and ensure smooth project delivery.
 </li>
 <li>
 
 Technical Leadership:
 
 Drive the adoption of AI technologies and frameworks to solve complex business challenges, and demonstrate the ability to lead projects and mentor junior developers.
 </li>
 <li>
 
 Continuous Improvement:
 
 Stay updated with the latest advancements in AI, NLP, and Azure technology, and maintain strong alignment with project delivery timelines, demonstrating resilience in addressing challenges.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications,Education and Experience:
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
 </li>
 <li>
 
 Experience:
 
 5+ years of experience in AI/ML development, specifically with enterprise-grade solutions.
 </li>
 </ul>
 
 
 
 
 
 Mandatory Technical Skills:
 
 
 
 
 Microsoft AI Ecosystem:
 
 Azure AI Foundry, Copilot Studio, Azure AI Services (OpenAI, ML, Document Intelligence, Custom Vision etc..)
 
 
 
 Programming &amp; Frameworks:
 
 Python (Core language for AI development), Python AI/ML Libraries, FastAPI etc..
 
 
 
 Generative AI &amp; LLMs:
 
 LLM Expertise (e.g., GPT-4o, GPT-3.5), Prompt Engineering, Semantic Kernel, Function / tools Calling, LLM finetuning
 
 
 
 AI Orchestration:
 
 Agentic Frameworks (Autogen, CrewAI, LangGraph), Azure Functions, Logic Apps
 
 
 
 Data &amp; Integration:
 
 RAG Pipelines with multi format document(image, pdf, words etc..), API Integration (e.g., Enterprise API), Intelligent Document Processing (SharePoint AI Integration, Azure AI Search), Cosmos DB / SQL DB
 
 
 
 
 
 
 Skills
 
 
 <ul>
 <li>
 
 Data Technologies:
 
 SQL, KQL, DAX, Data Ingestion (Oracle DW, ERP, SharePoint, Excel, CSV), Data modeling(Power BI), Azure App insight and monitoring service.
 </li>
 <li>
 
 Deployment &amp; Operations(CI / CD):
 
 Containerization (Docker), Orchestration (Azure Kubernetes Service - AKS) with Github / Azure devops
 </li>
 <li>
 
 Front-End Technologies:
 
 HTML, CSS, JavaScript, Angular, or React for building monitoring dashboards, Streamlit, Gradio.
 </li>
 <li>
 
 Certifications:
 
 Azure Certifications (e.g., AI-102, DP-100, AZ-204).
 </li>
 <li>
 
 Specialized Experience:
 
 Experience with Generative AI in Production environments.
 </li>
 <li>
 
 Additional tools &amp; services:
 
 MCP, Power Apps, Azure Bot Service, Teams Integration, Teams AI SDK.
 </li>
 <li>
 Excellent communication, presentation, and stakeholder management skills.
 </li>
 <li>
 Strong problem-solving and analytical thinking.
 </li>
 <li>
 Ability to lead projects and mentor junior developers.
 </li>
 <li>
 Resilience and a proactive approach to project challenges.
 </li>
 </ul>
 
 
</div>

Senior AI Engineer

Xavor Corporation

Location: DHA 6, Lahore Experience: 2 to 5 Years Team: UX / Human&ndash;Robot InteractionAbout the RoleWe&rsquo;re an AI robotics company building human‑centered products for older adults and people living with dementia, combining intelligent robots, mobile apps, and conversational agents. You&rsquo;ll join a cross‑functional team of designers, Robotics hardware and AI engineers, and researchers working on intuitive, empathetic human&ndash;robot interaction, often in aging and dementia care contexts and global research collaborations.You&rsquo;ll own end‑to‑end UX across mobile, web, and robot interfaces: researching users, defining use cases, designing flows and prototypes, and iteratively testing mobile, robot, and conversational AI experiences with real users and developers.Responsibilities<ul><li>Research &amp; strategy: Conduct user research (interviews, observations, contextual inquiry) with older adults, care partners, clinicians, and other stakeholders; synthesize insights into personas, journey maps, service blueprints, and storyboards to frame problems and opportunities across the full robot‑assisted service.</li><li>Experience design (mobile, web, robot): Design flows, wireframes, and low‑ to high‑fidelity prototypes for mobile apps, web tools, and robot interfaces (screen, voice, motion, light, gestures, movement, body language, nonverbal interactions), ensuring cohesive multi‑modal experiences and clear translation of complex AI/robotics/Application concepts into understandable interactions.</li><li>Conversational UX &amp; generative AI: Define conversation flows, prompts, dialog states, and edge cases for conversational bots (chat/voice), leveraging generative AI while being sensitive to aging and dementia needs.</li><li>Use‑case visualization with AI video tools (in collaboration with visual design/animation): Work closely with the visual design team and/or animator to turn key use cases into short AI‑generated concept videos or motion sequences that clearly communicate user flows, robot behaviors and edge cases to tech teams, so developers and AI/robotics engineers know exactly what needs to be built.</li><li>Testing &amp; iteration (mobile, robot, AI, Design): Plan and run usability tests and role‑plays for mobile apps, robot behaviors, and conversational experiences; use logs, analytics, and user feedback with developers and AI engineers to iteratively improve comprehension, response quality, tone, trust, and overall UX; validate concepts via low‑fidelity &ldquo;Wizard of Oz&rdquo; and role‑play prototypes before full development. Perform user research, define design requirements, validate design solutions through testing, provide actionable feedback, and iteratively refine concepts to support the Design Team&rsquo;s workflow.</li><li>Collaboration &amp; delivery: Partner with product managers, robotics/AI/ML engineers, experts, and other designers to define and refine use cases; provide clear specs and interaction guidelines; support implementation and QA; continuously monitor UX, AI, and HRI trends and bring relevant best practices into the team.</li></ul>Typical deliverables:Personas, journey maps, use‑case and task flows, storyboards and role‑play scripts, wireframes, high fidelity design and interactive prototypes (e.g., Figma), usability test plans and reports with iterative recommendations.Must‑haves<ul><li>Bachelor&rsquo;s degree in UX Design, BSCS, BSIT, BSSE, HCI, Psychology, or related field (or equivalent experience).</li><li>3+ years as a UX or Product Designer on digital products (mobile and/or web).</li><li>Strong portfolio showing end‑to‑end UI &amp; UX work (research &rarr; flows &rarr; prototypes &rarr; shipped features).</li><li>Proficiency with modern design/prototyping tools (Figma).</li><li>Solid grasp of user‑centered design, usability testing, and data‑informed decisions.</li><li>Experience collaborating closely with developers from feasibility through implementation and iterative UX improvements.</li><li>Clear communication and confidence presenting to cross‑functional teams.</li></ul>Nice‑to‑haves<ul><li>Experience with AI‑powered products, conversational interfaces, or generative AI.</li><li>Experience with robotics, IoT, or multimodal interfaces (voice, gesture, physical devices).</li><li>Background in healthcare, aging, dementia care, or other sensitive domains.</li><li>Knowledge of accessibility standards and inclusive design.</li><li>Master&rsquo;s degree in UX, HCI, or related field.</li></ul>Why Join UsYou&rsquo;ll work at the intersection of AI, robotics, and human‑centered design, helping improve quality of life for older adults and people living with dementia, alongside top‑tier developers, researchers, and clinical partners in a diverse, mission‑driven, and supportive environment. Expect innovative projects, real‑world impact, competitive compensation and benefits, and strong opportunities for learning and growth.How to ApplyPlease send your resume and portfolio (2&ndash;3 projects showcasing mobile or multi‑device work, and any robotics/AI/conversational projects if available).Job Type: Full-timeWork Location: In person

UI/UX Designer

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