1 to 25 of 411 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Agent Software Engineer | Series C AI Scale-Up | Onsite, London (5 days/week) A Series C conversational AI scale-up backed by leading investors (including Bain Capital Ventures, Accel, and a16z) is expanding into London, joining existing offices in San Francisco and New York. Their platform enables major global brands to deliver human-like customer experiences across More ❯

working POCs in client environments Deep expertise on multiple Salesforce products like Sales Cloud, Service Cloud, Data Cloud, Experience Cloud and Marketing Cloud Experience with generative AI and conversational AI design Strong experience implementing and optimizing Service Cloud including Omni-Channel Routing, Email-to-Case, Live Agent and Einstein Bots AI and Data Cloud implementation across enterprise environments More ❯

and guidance as needed to ensure solution success Communicate effectively with stakeholders and team members Work with process improvement or IA/AI technologies such as Process Mining, Conversational AI, Low Code/Workflow, RPA, IDP, Generative AI, etc. Requirements: Educated to degree level (or equivalent) Professional, proactive, and adaptable to different circumstances (consulting background is a plus More ❯

and guidance as needed to ensure solution success Communicate effectively with stakeholders and team members Work with process improvement or IA/AI technologies such as Process Mining, Conversational AI, Low Code/Workflow, RPA, IDP, Generative AI, etc. Requirements: Educated to degree level (or equivalent) Professional, proactive, and adaptable to different circumstances (consulting background is a plus More ❯

Practical experience using managed AI services and foundation models from a major cloud provider (e.g., Amazon Bedrock, Google Vertex AI, Azure AI Services). Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). More ❯

Practical experience using managed AI services and foundation models from a major cloud provider (e.g., Amazon Bedrock, Google Vertex AI, Azure AI Services). Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). More ❯

digital experiences across departments. We’re looking for an experienced Cloud & DevOps Engineer to join the AI Customer Experience team - a multidisciplinary group driving innovation in Generative AI, conversational interfaces, and automation. You’ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure More ❯

digital experiences across departments. We’re looking for an experienced Cloud & DevOps Engineer to join the AI Customer Experience team - a multidisciplinary group driving innovation in Generative AI, conversational interfaces, and automation. You’ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure More ❯

team owns the end-to-end report lifecycle-from fetching and transforming to visualizing-and we're pushing the boundaries of user experience with innovative features like our conversational AI report builder. Samsara uses Golang for our backend, Typescript and React for our web client, GraphQL to fetch data from our backend, and React Native for our mobile More ❯

with normalization and denormalization, sharding, and other data-centric patterns Architectural/technical experience with Gen AI (RAG frameworks, Vector DB searches and embeddings, etc.) and/or Conversational AI (IBM WatsonX, Google Dialog Flow, etc.) Experience designing REST APIs that facilitate a strong developer experience or simplify systems integration. Experience with SAFe Software Development Principles Experience with More ❯

Role: Software Engineer - Conversational AI (Python) Location: London - Hybrid Compensation: £150,000 - £300,00 We’re working with a AI company delivering AI voice agents to major brands. We need engineers who can move quickly, own production systems, and partner with customers to deliver measurable improvements. Key requirements 2+ years industry experience; Python required. Experience with backend systems More ❯

Role: Software Engineer - Conversational AI (Python) Location: London - Hybrid Compensation: £150,000 - £300,00 We’re working with a AI company delivering AI voice agents to major brands. We need engineers who can move quickly, own production systems, and partner with customers to deliver measurable improvements. Key requirements 2+ years industry experience; Python required. Experience with backend systems More ❯

based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in More ❯

based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in More ❯

with Power Platform – Power Automate, Power Apps, and Dataverse. Proven background in API integration, SQL, or data-driven automation. Exposure to or keen interest in Copilot Studio/conversational AI development. Understanding of Microsoft 365 services (Teams, SharePoint, Dynamics 365). A curious, problem-solving mindset with the confidence to work closely with non-technical teams. Why This More ❯

Come join our team! Druid AI is an end-to-end platform for building, deploying, and scaling AI agents and Conversational Business Applications (CBA), designed to deliver next-level employee productivity and the total customer experience in the most intuitive way. Acting as a front layer to all digital operations, DRUID unifies and enhances the existing technology landscape More ❯