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Build and scale the backend platform that powers AI-driven travel experiences, integrating ML models and vector search for real-time personalization at global scale.
Builds and scales data pipelines, crawlers, and semantic search systems using Golang/Node.js, MongoDB, PostgreSQL, and vector databases to power AI-driven financial analytics and RAG workflows.
Build and scale data pipelines, crawlers, and semantic search systems using Golang/Node.js, PostgreSQL, and vector databases to power AI-driven financial analytics and RAG integrations.
Build full-stack MERN apps with TypeScript, integrate RAG pipelines and LLM services, and deploy on AWS/GCP.
Full Stack Engineer building Python-based microservices with React frontends, deploying via Docker and CI/CD, and occasionally on-site at client locations in Italy.
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and GCP services.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Build and ship AI-powered web apps and agents using LLMs, Python/Node.js, and cloud tools; integrate AI into marketing platforms and internal tools for measurable business impact.
Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Build and deploy Generative AI systems for financial applications, including RAG pipelines, vector databases, and AI agents, using Python, AWS Bedrock, and LangGraph.
Build and optimize AI-driven automation workflows using Python, n8n, and OpenAI models, integrating systems with PostgreSQL and APIs.
Build and optimize AI-driven automation workflows using Python, JavaScript, and tools like n8n or Zapier, integrating models and APIs for enterprise clients.
Разработчик поддерживает и развивает высоконагруженную LLM-платформу на .NET, Python и React, оптимизируя инференс, PostgreSQL и GPU-инфраструктуру для обработки текста, изображений и аудио.
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.
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…
Design and build scalable AI/ML infrastructure for a global fintech leader, focusing on real-time fraud detection and liquidity optimization using AWS, Kubernetes, and PyTorch.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
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