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Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Monitors and secures AI tools, agents, and models across the company, hunting for unauthorized usage and data risks while supporting compliance with AI governance frameworks like ISO 42001.
Monitors and secures AI tools, agents, and models in use across the company, hunting for unauthorized AI activity and ensuring compliance with AI governance frameworks like ISO 42001.
Designs and deploys AI agents (LLM/GPT-like models) to automate customer service workflows in a fintech contact center, focusing on dialog systems, recommendation engines, and NLP-based interfaces.
Build and scale production AI systems for English Language Learning, developing agentic content generation workflows and LLM-powered services (Conversation Brain, Ambient ORA) that serve multiple Pearson products. Work with Python (FastAPI, CrewAI, LangGraph, LangChain), Azure, and observability tools to operationalize AI from research into production.
Наша команда разрабатывает AI-агентов для обслуживания юридических лиц и внутренних процессов Банка. Агенты предназначены для быстрого решения вопросов клиентов, анализа основных клиентских жалоб, поиска корневых…
Salary: 55.000 - 85.000 € per year Requirements: Absolventen der Informatik, Wirtschaftsinformatik, Data Science oder eines verwandten Studiengangs Erfahrung mit: - RAG-Pipelines in Produktion — Vector DB, Retrieval,…
Команда развивает AI-трансформацию блока «Финансы». Наши решения работают с задачами ценообразования на портфельном и индивидуальном уровне, единых трансфертных ставок банка, бизнес-планирования и других финансовых…
Our culture and people are what set us apart from other post-acute care providers. We’re dedicated to the growth and development of our team to set them up for success. We CARE for our patients like they are our own…
Design, develop, and deploy NLP/LLM-based production systems using Python, PyTorch, and frameworks like LangChain for Hudhud's geospatial and location-intelligence platforms.
Обязанности: Разрабатывать AI-сервисы и AI-агентов для банка (AI-Nur, GenBI, Voice AI, внутренние AI Copilot). Создавать backend-сервисы на Python, API и микросервисную архитектуру. Интегрировать LLM, RAG, MCP, базы…
Design and deploy LLM-powered features, build RAG pipelines, and implement agentic workflows using Python and Azure, focusing on evaluation and integration with minimal supervision.
Leads a team of data scientists in Austin to design and deliver production-grade AI solutions for enterprise clients, focusing on GenAI and cloud-native development.
Build production-grade GenAI/LLM applications for Australia’s largest companies using Python, LangChain, and cloud platforms like AWS/Azure/GCP.
Builds production-grade GenAI/LLM applications for Australian enterprises, blending technical AI development (Python, LangChain) with client collaboration to solve complex business problems using cloud infrastructure and modern AI frameworks.
Leads AI solution design and delivery for clients, managing data science teams to build generative AI applications. Focuses on technical leadership, team mentorship, and translating AI capabilities into business solutions.
Мы развиваем Автоматизированную систему «Платформа Кибербезопасности» — высоконагруженное решение для обработки и хранения больших данных. В основе нашей платформы лежат продукты SDP Hadoop и SDP Ozone, выступающие в…
Intern builds and tests AI components for healthcare informatics, using LLM APIs, orchestration frameworks, and data pipelines to improve treatment, payment, and operations.
Develop and evolve scalable microservices using Java/Kotlin and Spring Boot, integrating traditional systems with Generative AI ecosystems in the financial sector.
Agentic AI Engineer building AI agent solutions using Python, FastAPI, vector databases, LLMs, RAG, and LangChain/LangGraph on GCP.
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