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Builds full-stack applications with .NET/C# or Java and React/Angular, integrating AI into the solutions while working remotely from Spain.
Build and scale AI-powered platforms by developing full-stack applications, focusing on JavaScript/TypeScript, Next.js, React, and PostgreSQL for seamless user experiences.
Builds AI-powered web apps by developing both frontend and backend using Python, Gradio, ML frameworks, and AWS cloud services for European projects.
Build and secure AI research infrastructure at supercomputing scale, automating HPC workflows and trusted research environments for European public and private sectors.
A Senior DevOps Engineer responsible for designing, deploying, and maintaining cloud infrastructure (Kubernetes, CI/CD) with a focus on AI workloads, cost optimization, and mentoring teams in best practices for security and reliability.
Leads enterprise-scale Generative AI and Agentic AI projects on AWS, focusing on Amazon Bedrock and AWS AgentCore, while managing client relationships and programme delivery.
Build and prototype AI agent features for enterprise customer support, working with LLMs, voice AI, and modern AI tools as part of a small founding team.
The QA Engineering Lead will oversee quality initiatives for Meta's core products, including Facebook, Instagram, and GenAI, ensuring high standards for a massive global user base.
The AI Governance and Security Lead will design and oversee security controls and governance frameworks for AI systems at AMES Australia. The role involves managing AI-related risks, compliance, and security strategy while ensuring data protection across the organization's platforms.
Build and scale a core simulation engine where next-gen AI models learn to reason, working across customer-facing products and internal infrastructure with LLMs, RL, and coding agents.
Build and scale large-scale ML infrastructure for Reddit’s recommendation systems, designing models, training pipelines, and low-latency serving to improve personalization across the platform.
The Senior Computer Vision Engineer will design and optimize real-time detection and tracking algorithms using C++ and Python for edge AI systems. The role involves deploying models to production environments and collaborating with engineering teams to solve complex perception challenges.
The Senior Product Manager leads the discovery, strategy, and delivery of AI-powered products from concept to pilot within x15ventures. They collaborate with engineering, design, and venture stakeholders to build customer-facing and internal AI solutions that drive commercial impact.
Builds and optimizes a low-level ML execution framework in Rust for high-performance generative AI inference on custom hardware.
Fullstack developer (React/JavaScript/TypeScript + Java/Spring Boot) building and optimizing the Buildsimple AI-based document processing SaaS platform on AWS, including APIs, CI/CD pipelines, and cloud architecture.
Develops frontend (TypeScript/React) and backend (Java/Spring Boot) features for an AI-powered SaaS platform processing documents intelligently, optimizing architecture, APIs, and CI/CD pipelines while collaborating with ML teams.
Data Scientist focused on Computer Vision & AI developing, training, and optimizing ML/DL models for image-based road infrastructure analysis using Python, PyTorch, and related CV libraries at an AI-driven SaaS startup.
Builds and deploys AI models for computer-vision pipelines that help cities manage road infrastructure, using Python, PyTorch, and Kubernetes.
Develops and enhances AI-driven document processing SaaS platform using Java/JavaScript/TypeScript, focusing on backend, APIs, and cloud-based architecture on AWS.
Java Software Developer building an AI-based SaaS platform for intelligent document processing on AWS, focusing on backend development with Java/Spring Boot and optionally fullstack with React/TypeScript.
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