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Builds and deploys production-grade AI systems using LangChain/LangGraph, focusing on RAG, agentic workflows, and LLM-powered applications. Translates AI architectures into scalable, observable, and secure cloud-native solutions with Kubernetes, vector databases, and observability tools.
Senior Forward Deployed Software Engineer on ServiceNow's Applied AI team, building and deploying production LLM-powered applications end-to-end for strategic enterprise customers in London, spanning backend services, orchestration pipelines, and front-end integrations.
Design and ship AI-powered tools, autonomous agents, and LLM-driven features for ICON's construction technology platform, building agentic AI systems using TypeScript/Python, RAG pipelines, and multi-agent frameworks.
Build and deploy AI agents and LLM-powered tools to automate workflows for ICON's construction technology platform, using Python/TypeScript and modern AI frameworks.
Senior Database Administrator responsible for managing and optimizing MySQL/PostgreSQL databases for NATO’s secure communication infrastructure, including high-availability setups, performance tuning, and disaster recovery.
Мы создаем десктопное приложение персонального AI-ассистента для сотрудников без навыков программирования. Наша цель — закрыть «последнюю милю» автоматизации рутины там, где нет API или они недоступны рядовому…
LSports is a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we…
Senior Data Scientist building AI retrieval and knowledge infrastructure for rare disease research, spanning biomedical knowledge models, semantic/vector search, ranking systems, and full-stack deployment using PostgreSQL, Python, LLMs, and Next.js/React.
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.
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…
Build and maintain SEON’s ID verification services, including backend (Node.js/TypeScript), React-based SDKs, and admin dashboards to enhance fraud prevention workflows.
Staff Data Engineer building an end-to-end data platform from scratch, designing near real-time streaming pipelines, vector database infrastructure, and AI-ready data systems using Kafka, dbt, cloud warehouses, and Python.
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.
The AI Engineer will develop and deploy multi-agent systems using LLMs, LangChain, and LangGraph to automate financial processes. The role involves building RAG pipelines, optimizing prompts, implementing LLMOps, and ensuring production-grade observability and evaluation for AI agents.
Designs and oversees Roche’s enterprise AI platform, architecting scalable, secure, and compliant AI/ML infrastructure for global healthcare applications.
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) for scientific/healthcare systems, integrating models into backend services and cloud platforms.
The Senior Machine Learning Engineer will design, build, and operate production-grade AI systems, specifically RAG applications and Intelligent Document Processing pipelines, for federal clients using AWS GovCloud. The role requires deep expertise in LLMs, vector databases, and secure, compliant software engineering practices.
Architect and build production-grade GenAI systems including RAG pipelines, LLM integrations, and agentic applications using Python, FastAPI, vector databases, and cloud platforms (AWS/Azure) at a data analytics scale-up.
Builds and maintains Python-based data pipelines, prepares/validates data in databases, and assists with search/retrieval systems for national security research projects.
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