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Build full-stack apps in Python and React.js, integrate AI agents via APIs, and deploy on cloud platforms with CI/CD.
Build and maintain the FinFAST platform’s full-stack features, integrating LLM APIs for an AI research assistant and creating interactive dashboards to visualize economic data.
Build and maintain AI multi-agent systems that automate business processes, integrate LLMs via APIs, and handle production workflows like RAG and prompt optimization.
Design and lead AI/ML solutions for clients, translating business needs into scalable architectures using cloud platforms and modern AI tools.
Design and build Java-based solutions for clients, including microservices, APIs, and AI-driven systems, while leading architecture and hands-on development.
Build and deploy AI agents that solve real workflow problems for energy traders, bridging commercial needs with engineering and shaping Vitol’s GenAI platform.
Build and deploy NLP models (Transformers, LLMs) for text analysis, RAG, and multi-agent systems on a cloud-native data-processing platform handling 10M events and 10TB daily.
Зарплата: 190000–210000 RUR (на руки) Компания ЕМЕ – разработчик и интегратор решений для управления логистикой. Мы в ТОП-3 вендоров и интеграторов WMS в России. ● 34 года в области разработки систем управления…
Build and deploy production-grade generative AI solutions using Azure OpenAI, RAG architectures, and agentic frameworks while ensuring security, observability, and governance.
Lead the design and implementation of production-grade agentic AI systems and AI-augmented software workflows using Python, LangGraph/LangChain, and tools like Claude Code.
This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise…
Job Description Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development· Proven track record and…
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that…
Build and deploy generative AI models (LLMs, multimodal) using Python, PyTorch, and Azure; engineer features, evaluate models, and ship solutions to production.
Build and ship AI agents end-to-end: design LLM-powered backends with RAG, vector search, and event streaming, then expose them via modern Vue/React frontends.
Leads cloud and AI platform engineering projects, mentors teams, and advises clients on AI-native infrastructure, cost governance, and agentic workflows using tools like Terraform, Kubernetes, and AWS Bedrock.
Builds scalable microservices and agentic workflows using Python, integrating LLMs and RAG pipelines into production systems while ensuring AI reliability and engineering quality.
Design and build AI solutions, agents, and LLM-based apps for enterprise financial services, integrating with systems and APIs.
Builds and deploys AI/ML and Generative AI models using Python, TensorFlow, and cloud platforms to solve business problems and enable data-driven decisions.
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