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Build and optimize AI data pipelines, integrate LLMs and multimodal models, and develop Java/Python backend services to turn AI capabilities into user features.
Builds and improves the Waze iOS app, implementing features and enhancing user experience for millions of drivers.
Build and deploy NLP models and GenAI features for a legal AI platform, maintaining production systems and collaborating with cross-functional teams.
Builds and deploys LLM-powered AI agents using LangChain and RAG to automate business tasks and improve productivity.
Senior AI developer building and deploying AI systems for a federal program, focusing on ML, deep learning, and NLP to meet agency requirements.
Build and optimize large-scale AI/ML systems for Google Cloud, leveraging distributed computing and advanced algorithms to power services like Search and YouTube.
Principal engineer leading backend and ML infrastructure at a Series C conversational AI company, designing real-time data pipelines, scaling GPU fleets, and optimizing inference costs for enterprise speech/NLP systems.
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.
Research and build an agentic AI system platform that converts natural-language task descriptions into executable multi-agent pipelines, optimizing them via evolutionary algorithms and LLM-driven mutations.
About Scorebuddy Scorebuddy is a leading Quality Management SaaS platform for Contact Centres. By combining quality management, coaching and learning with advanced AI Analytics, we help hundreds of customers worldwide…
Разработчик поддерживает и развивает высоконагруженную LLM-платформу на .NET, Python и React, оптимизируя инференс, PostgreSQL и GPU-инфраструктуру для обработки текста, изображений и аудио.
Designs and deploys production-grade AI systems, including multi-agent workflows and RAG, on GCP while mentoring engineers and enforcing engineering standards.
Staff engineer on Google’s Generative AI Blackbelt team building and deploying AI/ML solutions for customers across industries using Vertex AI and automation tools.
Build and validate agentic AI features for a patent-intelligence platform using NLP, LLMs, and retrieval strategies to power natural-language patent analysis workflows.
Lead AI solution development on BNY’s ELIZA platform, setting technical direction and embedding responsible AI practices while mentoring teams to drive measurable business impact.
Senior Data Scientist builds AI-driven fraud, personalization, and checkout optimization features, running experiments and deploying ML/NLP models in a product squad.
Senior ML/AI Engineer building LLM/RAG and NLP systems for ecommerce content moderation and insights, deploying on AWS with Python and Kafka.
Build and deploy NLP and GenAI models to analyze customer contact journeys using SQL, Python, PySpark, and Azure.
Build and deploy production-scale NLP and personalization models that process billions of consumer reviews and UGC, using Python, cloud ML stacks, and LLMs.
Build and deploy enterprise Generative AI apps using LLMs, RAG pipelines, and AI agents with Python, LangChain, and vector databases.
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