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Ai Platform Engineer – Scale Secure Data/Ml Infra
Build and maintain secure, scalable APIs on Kubernetes that wrap AI services (Databricks, Azure OpenAI, AWS Bedrock) for regulated insurance use cases, enforcing compliance, auditability, and real-time streaming outputs.
Devops Engineer– Microsoft Azure - €40.000 - €48.000 Al Año
Designs, deploys and runs a cloud-native data platform on Microsoft Azure, using IaC (Terraform/Ansible) and CI/CD pipelines, while leading a small DevOps team and interfacing with Microsoft engineers.
AI Product - Software Developer Junior
Build AI-powered features for a logistics platform using Python, LLMs, and cloud tools; develop smart assistants and agents that optimize ecommerce supply chains.
Senior Python Developer
Builds a Python-based AI platform that orchestrates financial research workflows, integrating LLM APIs and cloud-native services to automate data pipelines and model execution.
LLM Application Engineer
Build and ship LLM-powered AI agent workflows that orchestrate multi-step tasks, integrate tools, and turn probabilistic model outputs into reliable user experiences.
Principal Architect - AI Transformation
Lead the enterprise AI architecture strategy for a large wealth-management firm, defining scalable, secure AI platforms and governance while partnering with executives to drive AI adoption.
AI Engineer (Agentic Systems)
Build and optimize multi-agent AI systems using LangChain/LangGraph, FastAPI, and RAG pipelines for production-grade performance and security.
Principal AI Automation Engineer
Designs, builds, and deploys production-grade AI agents, copilots, and intelligent automations to transform business processes using enterprise AI platforms and low-code/no-code tools.
Principal AI Platform Engineer
Build and operate HERE’s enterprise AI Hub: shared runtime, CI/CD, model registry, and observability for scalable, secure AI deployments and intelligent agents.
Senior Software Engineer
Builds cloud-native, full-stack products (React/Node.js/PostgreSQL) for a venture-funded startup focused on real estate automation, integrating generative AI (LLMs, vector DBs) and DevOps pipelines to streamline strata management workflows.
AI Engineer - Applied
Build and deploy production AI agents and workflows that automate high-volume tasks, integrating LLMs and multimodal models with human oversight and robust evaluation.
Senior Full-Stack Software Engineer (2 Positions)
Build and maintain a serverless AWS backend, PHP/Laravel web app, and Flutter mobile apps for an intelligent energy-management platform, integrating AI features.
Tech Lead Software Engineer
Lead a team building a tax e-learning platform using .NET Core, Angular, and Azure, integrating AI tools like LLMs and RAG to power features such as askPOD and intelligent search.
Data Scientist (Manager/Senior Manager)
Lead AI/ML projects for EY’s clients, designing and deploying GenAI models (LLMs, vector DBs) and traditional ML solutions using Python, cloud platforms, and MLOps pipelines.
AI Engineer
Senior AI Engineer designs, builds, and deploys production-grade GenAI/LLM solutions using Python, RAG, AI Agents, and cloud platforms like AWS/Azure.
Senior AI Engineer, Solutions
Senior AI engineer builds production-grade LLM systems (RAG, agents) end-to-end, owns data/evals, and ships daily in a fast-moving product team.
Senior .NET Developer (AI Savvy)
Senior .NET developer builds scalable C#/.NET backends and integrates AI features like LLMs, embeddings, and RAG into web services and APIs.
Lead AI Engineer (AI Systems & Automation)
Lead the design and development of production AI systems for insurance workflow automation, integrating LLMs and backend services to deliver scalable, reliable AI-powered products for millions of users.
Senior Consultant CPM (Forward Deployed Engineer)
Build and deploy AI agents that automate financial workflows like variance analysis and forecasting for CFOs, integrating with EPM/CPM systems using Python and LLM frameworks.
Data Scientist / AI Engineer Senior
Build and deploy generative AI systems, RAG pipelines, and multi-agent workflows using LLMs (OpenAI, Azure OpenAI, open-source) and MLOps/LLMOps practices.