1 to 25 of 434 Conversational UI Jobs

projects. Exposure to Claude, the Anthropic API, Anthropic Console, Anthropic Academy learning, or Claude‐focused implementation guidance. Experience using LLM APIs to build conversational AI, document‐processing, summarization, search, knowledge‐assistant, or workflow‐automation applications. Understanding of RAG, vector databases, embeddings, semantic retrieval, AI agents, tool ...

implementing generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to deliver scalable solutions for tasks such as conversational AI, document summarisation, or content creation. Proven experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes), including their use in designing scalable, cloud-native ...

delivery programs. Design secure, resilient, highly available AI systems at enterprise scale, across structured and unstructured data. Design and deliver LLM-powered applications: conversational AI, enterprise copilots, knowledge management, and workflow automation. Architect advanced retrieval using RAG, Agentic RAG, Graph RAG, knowledge-graph, and hybrid approaches. Design multi ...

with enterprise documents, databases, and internal knowledge sourcesBuild Agentic AI workflows that use tools, APIs, and enterprise systems to automate multi-step processesImprove conversational AI performance through prompt engineering, retrieval strategies, model evaluation, and response optimizationHelp implement AI guardrails, monitoring, and governance to ensure solutions are accurate, secure ...

Hybrid) Pay Rate: £450 - £480 per day Specialism(s): AI Strategy, Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs), AI Agents, Conversational AI, Intelligent Automation, Robotic Process Automation (RPA), Data Science, Data Analytics, Predictive Analytics, Natural Language Processing (NLP), AI Product Development, Innovation Management, Emerging Technologies ...

Anaplan, working at the intersection of cutting-edge AI capabilities and enterprise business planning workflows. Your Impact Design and architect GenAI and conversational AI solutions that integrate seamlessly with Anaplan's planning platform, enabling natural language interaction and manipulation of complex dimensions, hierarchies, and business planning models. Develop ...

experience implementing RAG architectures and knowledge retrieval solutions. Knowledge of Agentic AI and multi-agent orchestration frameworks. Experience building AI assistants, copilots or conversational AI applications. Strong Python development skills and experience with modern AI frameworks. Experience working with vector databases and semantic search technologies. Understanding of Security ...

contact centres, workflow automation or enterprise software. Exposure to AI tools such as ChatGPT, Claude, Gemini, Copilot or other AI platforms. Experience with conversational AI, chatbots, virtual agents or customer service automation. Experience creating process maps, user stories, acceptance criteria, test plans or solution documentation. Understanding of APIs ...

including C-suite executives. You hold domain expertise in one or more of: natural language processing, computer vision, generative AI, recommendation systems, or conversational AI.Ideally, you also have experience with large language models (LLMs), foundation models, retrieval-augmented generation (RAG), fine-tuning, prompt engineering, or agentic AI architectures. ...

e.g., JSON Schema). Understanding of agentic AI system layers and concepts, such as context management, harness design, and loop engineering. Experience building conversational AI solutions, including RAG, Agentic and Graph RAG techniques Experience building and scaling AI/ML workloadsusingdistributed training/serving frameworks (e.g. ...

seaborn) Demonstrated ability to independently execute technical projects and contribute to cross-functional initiatives Preferred qualifications Experience building AI assistants, agentic workflows, or conversational AI applications Experience working on search, ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies ...

e.g., JSON Schema). Understanding of agentic AI system layers and concepts, such as context management, harness design, and loop engineering. Experience building conversational AI solutions, including RAG, Agentic and Graph RAG techniques Experience building and scaling AI/ML workloads using distributed training/serving frameworks (e.g. ...

strategic brand touchpoint powered by advanced agentic AI. Enable an AI‐driven, 360‐degree view of the customer across systems. Drive intelligent automation, conversational AI, and self‐service capabilities. Frictionless Digital Support Implement generative AI and LLM‐enabled automation to reduce manual interventions. Improve SLA performance and reduce ...

Enterprise, Google Vertex AI, Claude), with experience integrating AI solutions with enterprise systems (Microsoft, Workday, SAP) to enable connected experiences across search and conversational AI. Advanced architectural expertise in Microsoft Azure, or Google Cloud Platform (Azure/GCP preferred), specifically around modern compute (Kubernetes/AKS/ ...

trading workflows, risk analysis, and operational efficiency Develop agentic coding systems that can autonomously generate, test, and optimize code for financial applications Create conversational AI interfaces and intelligent assistants for traders and business users Technical Architecture & Implementation Architect and implement RAG pipelines for knowledge retrieval from structured ...

Experiment design and A/B testing NLP and text analytics Generative AI Prompt Engineering AI Agents and Multi-Agent Systems Copilot and Conversational AI development BigQuery Dataflow Cloud Functions GKE Pub/Sub IAM and Security Controls MLOps/LLMOps CI/CD for ML Version Control ...

break down complex problems, make pragmatic tradeoffs, and ship iteratively, backed by strong communication across product, design, and operations Bonus points for conversational AI or LLM orchestration experience, including speech technologies such as Deepgram, ElevenLabs, Whisper, or OpenAI Realtime Bonus points for working knowledge of cloud telephony ...

less‐experienced colleagues. Knowledge of Temporal, event‐driven architectures or large‐scale data processing. Understanding of AI agent patterns, retrieval‐augmented generation or conversational AI systems. Knowledge of cybersecurity products or concepts such as XDR, MDR, SIEM or SOAR. Familiarity with AI‐assisted coding tools such as Claude ...

commerce changes ahead. You are energised by the explosion of LLM-influenced online commerce journeys (e.g. Gemini, ChatGPT), to the launch of immersive conversational-AI experiences, to the role of AI in optimising core commerce processes and operational support models. A basic understanding of the agentic commerce landscape ...

project management experience, ideally within customer service, contact centre, or CX environments. Demonstrated experience delivering AI, automation, or digital transformation projects (e.g. conversational AI, RPA, NLP, knowledge management tools). Strong understanding of customer service operations, including contact centre metrics, workflows, and team structures. Excellent stakeholder management skills ...

REST, SOAP, and HTML. Strong Python skills and hands-on experience building RESTful or GraphQL APIs. Demonstrated experience building GenAI solutions, agents, or conversational applications, exhibiting the ability to differentiate reasoning approaches like ReAct and Chain-of-Thought (CoT). Demonstrate ability to design and architect Agentic Systems … integrated with ServiceNow, such as custom Agentic AI skills, GenAI integrations, and intelligent automation. Strong technical background in ServiceNow-specific development tools and frameworks (UI Policies, UI Macros, UI Pages, Client Scripts, Script Includes, Business Rules, Mid Server Configuration & Architecture, Import Sets, Transform Maps, Update Sets). ...

model validation as part of TDD approach AI Context Engineering: Collaborating on AI context engineering and model integration to enhance user experiences with conversational interfaces and intelligent automation Problem Solving: Solving complex problems through serverless patterns and AI-powered insights alongside fellow team members Infrastructure as Code: Implementing ...

research-lab role and not a generic chatbot posting. You will ship in the same systems that already run receipt intelligence, conversational expense capture, missing-info assistants, and admin automation — then raise the bar on accuracy, latency, cost, and safety. You may land on employee experience (web/ ...

engagements at scale, using real-time data to dynamically tailor demos, technical presentations, evaluations, and solution recommendations Continuously experiment with emerging tools (e.g., conversational AI, autonomous agents, predictive analytics, and AI-powered deal coaching) and share best practices across the organization Harness AI-driven insights to craft highly ...

engineer in product-centric settings Experience in production-level Python Experience implementing AI projects (prompt engineering, fine-tuning, multi-agent frameworks, LLMs, conversational AI) Strong understanding of modern AI tools and approaches Bachelor’s or Master's degree in Computer Science or a related field Excellent communication skills ...