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Senior ML Engineer builds and operates cloud-native ML systems for multimodal healthcare data, including clinical document analysis, medical text processing, and conversational AI agents using GCP tools.
Team Red Dog is building a pipeline of qualified candidates for an anticipated AI Prompt Engineer opportunity with a premier enterprise technology client expected to open within the next month. This upcoming fully…
Define the product vision and roadmap for HighLevel's Conversation AI platform, which builds AI agents to handle customer conversations across SMS, email, WhatsApp, and more, integrating with CRM, workflows, and analytics.
Designs, tests, and deploys LLM prompts and AI agents for an automotive customer-data platform, writing supporting code and monitoring live systems for quality and hallucinations.
Design and lead enterprise-scale Azure cloud-native apps and AI integrations for healthcare platforms, including GenAI, microservices, and API-first architectures.
Build and maintain healthcare web apps and APIs on Azure, integrating AI features like conversational interfaces and RAG for member journeys and provider workflows.
Build and ship full-stack features for an AI healthcare assistant using React/Next.js, TypeScript, Python, and FastAPI, while improving patient-provider communication workflows.
Own end-to-end delivery of AI-powered chatbots and voicebots for enterprise clients, coordinating with product and engineering teams to implement LLM solutions.
Lead AI-powered learning platform initiatives, shaping creator tools and AI-driven features to deliver scalable, personalized education experiences for millions of users.
Staff Product Manager at Coursera defines AI-powered learning features and roadmaps, leading cross-functional teams to deliver scalable, personalized education tools for millions of global users.
Leads a 50+ engineer team to architect, scale, and modernize Albertsons’ data platform (lakehouse, Medallion, streaming) while embedding AI-driven automation (agentic AI, RAG, LLM integration) to accelerate engineering velocity and enable AI-ready data products for retail operations like supply chain, merchandising, and store operations.
Build and deploy LLM-based AI agents and RAG systems to automate merchant communication for Rakuten’s ecommerce platform, using Python, PyTorch/TensorFlow, and cloud MLOps.
Build and operate the Azure-based AI platform powering conversational AI products, focusing on RAG, LLM orchestration, vector search, and production AI services.
Design and optimize conversational experiences for Lloyds Bank’s Virtual Assistant, improving customer interactions using research, data, and AI-driven insights.
Design enterprise-scale AI and data architectures for Salesforce customers, focusing on Data Cloud, Agentforce, and trusted data foundations to turn AI ambitions into scalable, secure solutions.


 Working at Infobip means being part of something truly global. With 75+ offices across six continents, we’re not just building technology — we’re shaping how more than 80% of the world connects and…
Build and deploy production-grade AI systems, including LLM-powered agents and analytics, to enhance customer experience and workforce productivity using NLP, retrieval-augmented generation, and agentic workflows.
Design and optimize conversational experiences for a banking virtual assistant used by millions, improving clarity and reducing customer effort.
Build and lead cloud-native banking systems using Java/Python/Go, microservices, and AWS to deliver customer-facing credit tools like Credit Keeper and Quick Check™.
Build and deploy AI-powered ServiceNow workflows and integrations for healthcare operations, using JavaScript, REST APIs, and cloud-native DevOps practices.
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