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The Senior Full Stack Developer will build and maintain production-grade security applications and LLM-powered tools within a global cybersecurity team. The role involves backend development in Python and frontend work using Vue.js to support threat hunting and cyber analytics.
The Senior Full Stack Developer will build and maintain LLM-powered security applications and cyber analytics tools using Python and modern frontend frameworks like Vue.js. This role involves collaborating with stakeholders to design scalable, production-grade systems within a global cybersecurity team.
The Staff+ Software Engineer will architect and scale database infrastructure to support Anthropic's AI research and Claude product ecosystem. This role involves designing reliable, multi-cloud storage solutions and data movement pipelines to handle massive growth.
The Customer Engineering Manager leads a team of technical experts to drive data analytics and AI transformation for Google Cloud customers. This role involves managing talent, influencing product roadmaps, and providing strategic technical advice to accelerate cloud adoption and modernization.
Full-stack engineer building healthcare practice management software (DottAI, FisioDesk), working end-to-end on features including AI/LLM integrations using Java/Spring Boot, MongoDB, and Angular, based in Bologna with remote flexibility.
Designs, builds, and deploys enterprise-scale AI solutions including GenAI agents, RAG pipelines, and LLM-driven workflows using Azure AI services, while ensuring scalability, security, and Responsible AI compliance.
Design, build, and optimize scalable cloud-native infrastructure across AWS, Azure, and GCP as a client-facing architect, driving migrations, governance, IaC (Terraform), CI/CD, Kubernetes, and cost optimization for enterprise clients.
The Data Engineer builds and maintains data pipelines and knowledge repositories to prepare structured and unstructured data for Generative AI and RAG-based solutions. The role ensures data accuracy, governance, and quality across enterprise systems to support reliable AI-driven business decisions.
This Senior Data Engineer role involves building scalable data pipelines and lakehouse solutions within the Microsoft Azure and Fabric ecosystem to support generative AI and agent-based applications. The position is an initial three-month contract with the potential to transition into a permanent role.
The Staff Forward Deployed Engineer acts as a builder-consultant, embedding with customers to deploy production-grade agentic AI solutions using Google Cloud's Vertex AI and Gemini models. This role bridges the gap between frontier AI research and enterprise infrastructure by coding, debugging, and providing critical feedback to Google's product teams.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
This role involves leading workforce strategy and technical capability development for AI, Machine Learning, and Data Engineering teams. The specialist will oversee project delivery, mentor engineers, and design upskilling programs focused on modern data stacks, GenAI, and MLOps.
Designs and implements AI-powered BI solutions on the GoodData platform, integrating LLMs and custom AI workflows to enhance data analytics for clients. Leads technical implementation, manages cross-functional teams, and acts as a trusted advisor to customers.
The Data Scientist will develop machine learning, generative AI, and agentic AI solutions to solve complex business challenges at Manulife. The role involves analyzing large datasets, building AI-enabled models, and collaborating with cross-functional teams to drive strategic decision-making.
About the Role As a Solutions Engineer, you'll embed with customers to design, build, and ship production software fast — full-stack apps, cloud infrastructure, and applied AI solutions built around Python or…
The Data Infrastructure & MLOps Engineer will design, build, and maintain scalable data pipelines and machine learning platforms to support Doodle's B2B SaaS products. The role focuses on automating infrastructure, ensuring system reliability, and enabling efficient model deployment using technologies like Python, SQL, and cloud-native tools.
This role involves developing scalable, AI-powered full-stack applications using Java, Spring Boot, and modern frontend frameworks like React or Angular. The developer will integrate Generative AI, LLMs, and RAG architectures into enterprise systems while managing microservices and cloud-native deployments.
Senior Product Owner leading AI research initiatives, semantic search, ontology/metadata frameworks, and AI-powered product features at a regulatory and sustainability intelligence company, collaborating closely with engineering, research, and business stakeholders.
The AI Data Engineer will design and manage enterprise-grade data pipelines and RAG infrastructure to transform unstructured business documents into AI-ready knowledge bases. The role focuses on building scalable ETL/ELT processes, optimizing vector database environments, and ensuring data governance for downstream LLM applications.
About Understood Understood is a nonprofit focused on shaping the world for difference. We raise awareness of the challenges and strengths of people who learn and think differently. Our resources help people navigate…
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