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Designs and structures knowledge systems to train and enable global partners on complex data storage solutions, integrating AI-ready learning architectures and instructional design.
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.
The Applied AI Engineer will build and maintain production-grade AI agents, machine learning models, and data-driven dashboards to support real-time decisioning and risk management. The role focuses on developing governed, auditable AI systems using Python, TypeScript, and SQL within a high-scale Web3 and iGaming environment.
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.
The Senior AI Software Engineer will design backend services and data pipelines while implementing RAG architectures and knowledge graphs to support group-level AI and data initiatives.
The AI Data Engineer will design and manage enterprise-grade data architecture and RAG infrastructure to transform unstructured data into AI-ready knowledge bases. The role focuses on building scalable pipelines to resolve data fragmentation and ensure secure data flow for AI systems.
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…
This role involves building production-grade agentic systems and AI-ready data platforms for enterprise clients using Snowflake, dbt, Airflow, and LLM frameworks. The engineer will focus on unstructured data extraction, agent orchestration, and establishing evaluation practices for non-deterministic AI workflows.
Build and deploy machine learning models for startups and life-science companies using Python, PyTorch, and TensorFlow in a fully remote, globally distributed team.
Projetar, desenvolver e implantar soluções de IA Generativa e LLMs em escala. Desenvolver agentes inteligentes, aplicações baseadas em LLMs e integrações via APIs. Atuar com LLMOps, garantindo qualidade, segurança,…
Architects and builds model/agent pipelines, observability/evaluation frameworks, and LLM/agent platforms; designs core infrastructure and implements retrieval augmented generation systems, focusing on reproducibility and performance optimization.
Design and own scalable data pipelines and lakehouse architectures for Visa Hunt, supporting analytics and future AI/ML use cases while ensuring data quality and governance.
Builds scalable full stack apps and integrates AI/LLM features like RAG and agent workflows, ensuring reliability, performance, and robust testing in production.
Roles & Responsibilities Develop, maintain and enhance Python-based applications and services. Design and implement scalable, reliable and reusable software components using Python and open-source frameworks.…
The Senior AI & Machine Learning Engineer will design, build, and deploy enterprise-scale AI solutions using technologies such as Generative AI, LLMs, RAG, and MLOps. The role requires 10-15 years of experience in IT and deep expertise in machine learning frameworks and cloud-based AI platforms.
Designs and builds AI-powered features for a CRM platform using C# and .NET, including agents, copilots, and RAG systems, while ensuring reliability and security.
About Customs Support Group Customs Support Group (CSG) is the European market leader in customs services, operating across 15 countries. CSG is owned by private equity and a fast-growing, dynamic, data-driven company,…
The Web Solutions Engineer will build and deploy scalable AI-driven business applications and internal tools for YouTube's partner ecosystem. The role involves full-stack development using TypeScript, Python, and Google Cloud AI technologies to integrate LLMs and RAG architectures into enterprise workflows.
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