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Leads AI security product strategy and team at a cybersecurity SaaS company, defining multi-year roadmaps and representing the firm externally while driving cross-functional alignment.
Обязанности: •Разработка ИИ агентов и мультиагентной платформы: логика агентов, взаимодействие, оркестрация •Интеграция с LLM: подключение моделей, промпты, обработка ответов API-разработка: REST API для интеграции с…
Build and deploy AI-driven financial applications using LLMs, NLP, and agentic systems. Day-to-day work spans RAG, prompt engineering, and integrating AI into enterprise platforms.
Build and deploy AI-driven data pipelines and APIs that turn MSCI’s financial, ESG, and climate datasets into self-service products for quant developers and portfolio managers.
Build and own the AI platform powering legal AI agents and accelerators, including orchestration, retrieval, evaluation, and inference at scale for document-heavy legal workflows.
Build and own a full-stack app with Angular UI, .NET APIs, SQL Server, and automated tests, while integrating agentic AI workflows using third-party LLMs and orchestration frameworks.
Build and maintain AI agent harnesses and platforms to enable enterprise-scale generative AI applications using Python, TypeScript, and cloud-native tooling.
Build and maintain AI agent harnesses and platforms that other teams use to develop enterprise applications, integrating tools, APIs, and guardrails while ensuring scalability and security.
Обязанности: Сформировать дорожную карту ML‑инициатив для трейдинга и смежных функций (ценообразование, прогнозы спроса/предложения, оптимизация логистики, риск‑метрики); Разрабатывать end-to-end LLM-приложения : от…
Build production-grade AI systems for investment analysis and procurement using LLM, multi-agent architectures, and RAG pipelines in Python.
Staff Software Engineer builds and leads an AI-driven marketing platform that turns briefs into campaigns, working across backend, full-stack, and content systems serving millions of users.
Build and deploy full-stack AI applications and agentic workflows for enterprise clients, turning ambiguous problems into production systems with measurable impact.
Build and maintain an AI-native data platform that transforms raw enterprise data into trusted, semantically meaningful assets using orchestration, governance, and AI-assisted development tools.
Build and deploy production-grade LLM applications and agentic workflows that turn unstructured text into business insights, using RAG, prompt engineering, and modern cloud data platforms.
Build and deploy AI/ML models and systems for personalization, recommendations, and generative AI solutions that drive measurable business impact.
Build and scale the internal platform for AI agents, focusing on retrieval pipelines, orchestration, MCP servers, and observability using Python, Kubernetes, and Google Cloud.
Design and lead AI-powered test automation frameworks using LLMs, RAG, and agentic AI to enhance software quality and integrate intelligent testing into CI/CD pipelines.
Senior NLP/LLM engineer to design and build end-to-end AI-copilot pipelines for premium client managers, including RAG, multi-agent orchestration, and LLM fine-tuning with PyTorch.
Lead design and front-end architecture for agentic AI products, turning AI capabilities into intuitive interfaces using React, TypeScript, and modern UX patterns.
Lead the architecture and delivery of an enterprise-grade agentic AI platform for a global fintech client, designing secure, multi-cloud deployments and guiding a senior engineering team.
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