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Build and productionize LLM-powered AI agents and orchestration systems using NLP, retrieval-augmented generation, and agent workflows to enhance customer-experience analytics.
Build and deploy Generative AI systems for financial applications, including RAG pipelines, vector databases, and AI agents, using Python, AWS Bedrock, and LangGraph.
Build and deploy enterprise-grade AI voice and chat bots using RAG pipelines, fine-tuned LLMs, and agentic AI frameworks like LangChain on Kubernetes.
Own the Interactive Avatar API: define the developer surface, real-time experience, and commercial model for a new real-time avatar platform powering AI sales reps, support agents, and trainers.
Builds cloud-based integrations that power AI agents and chat/voice experiences for millions of users, focusing on reliability and scalability at the customer touchpoint.
The DAP Platform Solution Architect is a strategic technology leader responsible for defining, evolving, and governing the architecture of the Digital Assistant Platform. The role combines expertise in cloud…
Deploy Google Cloud’s agentic AI solutions for enterprise customers, translating business needs into production-ready AI workflows and leading cross-functional teams.
Build and maintain AI-powered conversational agents using Google Dialogflow CX and Vertex AI to handle customer travel queries and bookings.
Senior backend engineer building Python-based AI agents and RAG pipelines on AWS Bedrock, integrating LLMs and multi-agent systems for client-facing projects.
Oversee AI product delivery from planning to deployment, coordinating engineering, product, and stakeholder teams to ship AI features on time.
Build and improve AI models and systems for a company whose core product is AI/ML.
Build and ship an AI agent that automates car-rental sales and support: design prompts, integrate with CRM, and tune conversational flows to handle bookings, extensions, and FAQs.
This is a rare opportunity to join a specialized, ground-floor team working with early adopters to deploy AI voice agents and automation at scale. You will directly influence the platform's development,…
Develops enterprise-grade conversational AI and automation systems using Python, JavaScript/TypeScript, and Java, integrating speech technologies and KI strategies.
Builds and maintains Android apps in Kotlin, integrating AI features and cross-platform frameworks like KMP/Flutter for Motorola Mobility devices.
Principal Data Engineer builds and leads the AI data stack for Anaplan’s LLM and agentic systems, designing retrieval layers, vector/graph databases, and real-time GenAI features for enterprise planning workflows.
Principal Data Engineer builds and leads AI systems at Anaplan, designing retrieval layers, RAG pipelines, and GenAI features that integrate LLMs into real-time planning workflows.
Build AI-powered conversational interfaces and data visualizations for market research using VueJS, TypeScript, and OpenAPI, shaping how brands uncover consumer insights.
Design AI-powered voice interfaces and multimodal experiences for mission-critical public-safety apps, collaborating with researchers and engineers to make complex workflows intuitive.
Build and refine conversational AI tools and autonomous agents to help supply-chain teams query data and automate workflows using Python, SQL, and LLM APIs.
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