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Data & AI Engineer (m/f/d)
Build and deploy agentic AI systems and LLM-powered applications for a global insurer, focusing on RAG, multi-agent orchestration, and robust MLOps pipelines.
AI & Data Engineer: Autonomous Agents & RAG Architect
Design and build autonomous AI agents and multi-agent systems using RAG architectures with vector databases, LangChain, and LangGraph to automate business processes and integrate with CRM, media, and analytics platforms.
Ai & Data Engineer
Builds AI agents and RAG systems to automate marketing workflows, integrate APIs via MCP, and deliver generative insights for ad-tech and media clients.
Data Engineer Senior
Senior Data Engineer builds and maintains scalable data pipelines, cloud infrastructure, and ML models on Google Cloud using Python, SQL, dbt, and Databricks.
Ai & Data Engineer
Build autonomous AI agents and RAG systems to automate marketing workflows, integrating LLMs, vector databases, and cloud platforms like GCP/AWS.
AI Data Engineer
Designs and maintains AI-augmented data extraction pipelines using Pydantic, Scrapy, and LLM agents to autonomously scrape and validate structured data from websites while ensuring compliance and reusability.
Senior Data Engineer: Cloud Pipelines & ML
Build and maintain cloud data pipelines and ML solutions on GCP, AWS, and Azure using Python, SQL, dbt, and API-first architectures.
Ingeniero/a de Software Full Stack - Especialización IA Generativa
Build and deploy AI-powered full-stack apps using Angular, Docker, and LLMs; optimize models and engineer prompts to solve real client problems.
DevOps Engineer
DevOps Engineer to design, deploy, and maintain AI infrastructure using Kubernetes, Docker, and LLMOps tools like Ollama and LangChain, ensuring scalable, secure systems for logistics and industrial clients.
DevOps Engineer
DevOps Engineer building and scaling AI infrastructure (LLMOps) with Kubernetes, Docker, and NVIDIA CUDA on Linux, automating deployments and integrating Python/Java services.
Senior Backend Developer
Build and maintain the backend of a new Generative AI hub for a financial services firm in Valencia, using Node.js or .NET 8 on Azure to power AI-driven financial services with RAG, vector search, and multi-agent orchestration.
Backend Developer + AI
Build and deploy production-grade LLM-based applications using Python/Java/TypeScript, integrating with OpenAI, Claude, and open-source models while optimizing cost, latency, and security.
Backend Developer (LangChain / LangGraph) – Remote
Build and optimize AI agents using LangChain/LangGraph for backend systems, focusing on scalable architectures and agentic AI frameworks.
Senior Data Scientist
Build and deploy ML/AI models to optimize customer experiences and drive business impact, partnering with product and engineering teams.
GenAI Python Developer
Build shared AI tooling and frameworks in Python to let every engineering team ship GenAI apps fast and safely, focusing on LLM apps, RAG, and AI agents.
Senior Software Engineer – Data & AI Platform (m/f/d)
Build and maintain a production platform that collects, processes, and enriches social media content using Python, ETL pipelines, and LLM APIs for classification and summarization.
GenAI Engineer (Mid) (AI&Data)
Build production-ready GenAI and agentic AI systems for global enterprises using Python, LLM APIs, and cloud platforms like AWS/Azure/GCP.
Junior GenAI Engineer (AI&Data)
Build enterprise-grade GenAI applications and autonomous multi-agent systems using Python, LLM APIs, and vector databases, then deploy them to cloud platforms for Fortune 500 clients.
Junior Machine Learning Engineer (Data Platform)
Build and maintain Allegro’s ML/AI platform, including MLOps pipelines, agentic workflows, and model-serving microservices using Python, PyTorch, Kubernetes, and GCP.
Data Engineering - Global Banking and Markets -Warsaw-Vice President
Build and lead cloud-native data pipelines for regulatory reporting in investment banking, migrating legacy systems to AWS and integrating AI-driven workflows using Python, Kafka, and Kubernetes.