1 to 25 of 269 Conversational UI Jobs

Senior Android Engineer (UI/UX & Welcome Manager) Overview We are seeking an exceptional Senior Android Engineer to join a newly-founded joint venture backed by five of the world's leading telecommunications companies. Our mission is to restore trust in voice communication by building a network-native intelligence layer to combat the global epidemic of voice fraud and … call screening experience). As the Senior Android Engineer for the Welcome Manager, you are the User-Facing Owner of our AI innovation showcase. This isn't just another UI/UX role; you will be the primary architect of a novel conversational interface. Your challenge is to build the magic: the live transcription, the mid-call … we will showcase to the world at Mobile World Congress (MWC) 2026, and your work will be the primary driver for our monetization strategy. Key Responsibilities ? Conversational UI Architecture: Own the end-to-end development of the Personal Welcome Manager's conversational interface on Android. You will build a fluid, intuitive, and polished user experience More ❯

and regulatory compliance Background in multiple industries and diverse AI use cases Experience with agile methodologies and DevOps practices Knowledge of edge AI and IoT architectures Experience with conversational AI, computer vision, or NLP solutions Understanding of cost optimization for AI workloads Technical Expertise AI/ML Technologies: Deep learning, NLP, computer vision, reinforcement learning, generative AI (LLMs More ❯

and regulatory compliance Background in multiple industries and diverse AI use cases Experience with agile methodologies and DevOps practices Knowledge of edge AI and IoT architectures Experience with conversational AI, computer vision, or NLP solutions Understanding of cost optimization for AI workloads Technical Expertise AI/ML Technologies: Deep learning, NLP, computer vision, reinforcement learning, generative AI (LLMs More ❯

improve operational outcomes Champion self-service analytics and empower business teams to access and use data confidently Responsible Artificial Intelligence & Automation Identify, evaluate, and deliver AI initiatives including: Conversational AI (e.g., chatbots, virtual assistants) Machine Learning and Predictive Models for forecasting and optimization Collaborate with product, operations, and technology teams to embed AI into products, services, and workflows More ❯

collaborating closely with Engineering, Product and Business stakeholders to integrate advanced AI models into our products and services. This will include: Implementing and leveraging Google Gemini for enhanced conversational AI, content summarization, or intelligent search within our platform Exploring and integrating other relevant Google Cloud AI services (e.g., Natural Language API, Vision AI) to extract insights from healthcare More ❯

execute the enterprise AI & analytics vision, ensuring alignment with business goals and long-term digital transformation strategy. Lead development and deployment of LLMs and GenAI applications, such as conversational agents, summarization tools, code generation assistants, and document intelligence systems. Architect and implement agentic AI frameworks to automate multi-step business processes, enabling intelligent decision-making and self-operating More ❯

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 More ❯

focused generative AI for healthcare. You'll work closely with research scientists and product teams to build scalable infrastructure and models that support robust, real-time, and personalized conversational AI capabilities. We are seeking an experienced Staff Machine Learning Engineer to lead the development of machine learning pipelines, contribute to training and inference systems for Large Language Models More ❯

Goal Support one million patients with real-time AI-powered communication and operational insight. About Peerlogic Peerlogic is redefining front office operations for dental and veterinary practices. Our conversational AI assistant, Aimee, turns every call into a revenue opportunity. We are building the most intelligent patient engagement platform in healthcare-and we're looking for builders who want More ❯

to Have: Experience with front-end frameworks (React, Angular, Vue.js) and modern web development UiPath RPA Developer Certifcation and UiPath AI Center Experience Knowledge of chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails Familiarity with model distillation and prompt optimization techniques Understanding of responsible AI practices and AI security Recommended Certifcations: AWS Certifed Machine More ❯

developing production-level large-scale ML models and data pipelines. Industry work experience in designing and implementing machine learning-based solutions that ideally include: online safety, voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing. Strong machine learning, statistical and analytical skills. Preferred Qualifications: Prior work in Trust & Safety, security More ❯

areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering. From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are - all backed by the secure infrastructure More ❯

challenges logically and recommend practical approaches. A natural collaborator who communicates clearly and contributes positively to team culture. Bonus points for: Experience with AI agents, prompt engineering, or conversational AI. Knowledge of microservices and distributed systems. Experience with CI/CD pipelines, OAuth 2, and SOLID principles. Familiarity with Microsoft Dataverse, Dynamics 365, or the Power Platform. Why More ❯

Kernel, AutoGen, LangChain, CrewAI). Exposure to MLOps , containerization, and infrastructure-as-code practices. Experience with Power Platform , Microsoft Graph API , or enterprise system integrations . Familiarity with Fluent UI , Coherence , or other design systems. Understanding of AI governance, compliance, and responsible AI principles. We are looking for consultants who are eager to learn and grow. Active AGCP Developer More ❯

Azure, GCP) , API management , enterprise integration , and data architecture . Exposure to AI/ML or Generative AI in real-world applications (e.g., NLP, entity extraction, predictive analytics, conversational AI). Deep appreciation of regulatory landscape , data privacy, and cybersecurity needs within financial services. Preferred Background Experience working with top-tier banks, asset managers, or technology consulting firms More ❯

similar CRMs. Understanding of workflow automation tools (e.g., Zapier, n8n, Make) and dashboarding platforms (e.g., Power BI, Tableau). Hands-on experience in chatbot development and conversational UI design is a plus. Familiarity with RESTful APIs and SDKs for integrating LLMs into enterprise platforms. Knowledge of cloud platforms (Azure, AWS, GCP) and containerization tools (Docker, Kubernetes) is More ❯

engines or agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business and demonstrably outperform our human customers at Klaviyo. Introduce conversational AI interfaces into our software to make our customers more efficient users of our products. Build generative AI models that can automatically generate content for marketing given customer input More ❯

impact improvement areas. Support post-launch performance tracking and user adoption metrics. AI Training & Testing Help refine model prompts, responses, and fallback scenarios using live feedback. Participate in conversational design testing and training data curation. Collaborate with engineers and Product Managers to improve assistant tone, accuracy, and responsiveness. Qualifications Bachelor’s degree in Information Systems, Computer Science, Business More ❯

skills, with a focus on delivering customer-centric solutions. Ability to work independently and collaboratively in a fast-paced, dynamic environment. Strong working knowledge of AWS Experience with conversational AI platforms Understanding of business workflows and automation. Customer-first mentality. Things we are looking for: Technical Acumen: Deep understanding of AI and related technologies. Consultative Approach: Ability to More ❯

team members. Contribute to a culture of learning, experimentation, and continuous improvement. Stay ahead of AI and frontend trends, identifying practical innovations in areas like semantic search and conversational interfaces. Propose and prototype ideas that push the boundaries of AI-native product experiences while balancing competing priorities across clients and teams. Advocate for the transformative potential of AI More ❯

What You Will Do: As a senior member of the core platform team, you will play a key role in shaping the evolution of moveworks conversational AI platform. You will have the opportunity to - build enterprise products that solve real world problems by leveraging our machine learning platform, build the foundational frameworks and services which abstract away the More ❯

D efforts to explore and prototype next-generation chatbot architectures using LLMs, retrieval-augmented generation (RAG), fine-tuning, and real-time inference Design and deploy ML models powering conversational agents, including the support chatbot used across Cash App, Square, and other Block products Build generative AI systems that scale intelligently across multiple business units, adapting to diverse products More ❯

natural language understanding, and real-time latency, reflecting customer prompt distributions. Initiate human data collection for Voice AI: Design and manage campaigns to acquire high-quality voice and conversational data from diverse enterprise contexts, supporting model training and validation. Drive Voice AI integration with enterprise partners: Collaborate with cross-functional teams to integrate Voice AI capabilities into enterprise More ❯

development, AI integration, and problem-solving skills, with the ability to customize, optimize, and scale AI models for real-world enterprise applications. If you're passionate about LLMs, conversational AI, and solving last-mile AI adoption challenges, this role is for you. You will: Build, deploy, and optimize AI agents that engage in enterprise-grade conversations. Design & develop More ❯

ML engineers, and product teams to deliver clean, reliable data for model training and real-time inference. Enable chatbot platforms by integrating structured and unstructured data sources for conversational AI applications. Develop and maintain Tableau dashboards to support data storytelling and operational insights. Optimise data workflows across cloud and on-prem environments, ensuring performance and reliability. Skills & Experience More ❯