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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 a team to design, build, and deploy ML/AI systems for ecommerce search, recommendations, and personalization, shipping models that directly move business metrics.
Build and deploy production LLM applications for a global online gaming group, focusing on customer support automation, safer gambling, compliance, personalization, and internal tooling.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
Build and deploy enterprise Generative AI apps using LLMs, RAG pipelines, and AI agents with Python, LangChain, and vector databases.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Lead backend engineering teams to build cloud-native, data-driven platforms and APIs for a global credit ratings and financial data provider, using Java/Spring Boot, Python, and AWS.
Surf AI is the agentic operations platform for enterprise security teams. We don't just surface risk, we close it. Our platform connects context across identity, cloud, HR, IT, and SaaS systems, and uses…
Build and maintain Python-based AI applications, embed AI capabilities into systems, and deploy on AWS for clients.
Build and deploy agentic AI workflows for legal SaaS, using FastAPI backends and LLM tooling to automate contract review and legal research.
Build and deploy production-grade generative AI systems for enterprise customers, coding agentic workflows and integrating them with live infrastructure using Google Cloud’s AI stack.
Сегодня AI-агенты на базе LLM являются одной из самых передовых и востребованных технологий на рынке цифровых продуктов. Сбер как большая технологическая компания, одна из немногих в России обладающая собственной LLM,…
Build and deploy AI agents for process optimization in banking, focusing on NLP tasks like semantic search, classification, and LLM fine-tuning (SFT, RAG) using Python and frameworks like PyTorch and LangChain.
Build and lead a multi-agent LLM system using LangGraph to automate complex workflows for enterprise clients in marketing and e-commerce.
Lead AI engineering projects, architecting and deploying Classical, Generative, and Agentic AI solutions in Python while mentoring teams and aligning with client needs.
Builds and deploys AI-powered backend services using LLMs, RAG, and vector search; writes Python microservices and data pipelines for production GenAI apps.
Lead a team building and deploying enterprise data platforms, AI models, and generative AI solutions using Databricks, cloud-native tech, and AI tools like LangChain and Pinecone.
Senior AI Engineer building GenAI applications with LLMs, RAG, agents, and semantic search in Python, integrating models via APIs and deploying backend services.
Build and deploy AI-powered cybersecurity agents that autonomously investigate threats using LLMs, tool-calling workflows, and evaluation frameworks.
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems for a fintech-focused company.
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