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Embedded engineer at Google Cloud who codes, ships, and hardens production-grade agentic AI workflows (Gemini Code Assist, multi-agent systems) directly within customer environments using Google Cloud's Vertex AI stack and protocols like MCP/A2A.
The AI DevOps Engineer will manage and modernize hybrid cloud infrastructure, focusing on MLOps, AI pipeline automation, and GPU workload orchestration for a trading environment. The role involves leveraging tools like Kubernetes, Terraform, and various AI frameworks to ensure scalable and reliable infrastructure.
This role involves architecting and building autonomous AI agents and RAG pipelines to automate enterprise workflows for non-technical users. The engineer will work on the full stack of LLM orchestration, tool-use, and production deployment using technologies like Python, Spark, and various vector databases.
Мы разрабатываем инновационную платформу на основе генеративного искусственного интеллекта (GenAI), предназначенную для автоматизации создания и управления маркетинговыми кампаний. Основной целью нашего продукта…
Own the full data lifecycle in Azure: build Python-based data pipelines, FastAPI services, and AI integrations, then deliver dashboards and containerized apps on AKS.
IT-Planet is dé HR specialist voor flexibele en tijdelijke staffing in IT. Wij verzorgen IT-projecten bij diverse top 100-klanten over heel Vlaanderen en Brussel in volgende IT-domeinen: Application Development,…
Lead AI Analytics Engineer architecting data pipelines, vector databases, and multi-agent orchestration frameworks (LangChain/LangGraph) to power autonomous risk detection in Grab's Trust & Safety team using Python and LLMs.
Design, build, and optimize enterprise AI solutions using LLMs (OpenAI, Azure OpenAI, Google Gemini), RAG architectures, vector databases, and Python-based cloud-native development.
AI DevOps/MLOps Engineer building and automating CI/CD pipelines for LLM and AI model deployment on Kubernetes/OpenShift, using Jenkins, Docker, Terraform, and model serving platforms for a Singapore-based bank.
DevOps Engineer for AI systems: designs and maintains CI/CD pipelines, observability, and cost/performance management for LLM/agentic applications, bridging POCs to production-grade deployments with Kubernetes and Terraform.
Develops and maintains MCP servers in Quarkus, enabling AI capabilities like tools, resources, and prompts while integrating with DataHub APIs and ensuring secure, observable, and governed AI interactions.
The Principal AI Software Developer leads the design and implementation of large-scale, mission-critical AI and LLM systems for federal agencies using a modern cloud stack including Next.js, Terraform, and major cloud providers. This hands-on role involves architecting AI solutions, establishing MLOps practices, and ensuring compliance with federal security and AI policy standards.
Designs and builds AI-powered tools (LLMs, RAG, agents) for enterprise software engineering and DevSecOps, integrating with Azure cloud and ensuring compliance with VA AI governance.
Founding Account Executive MadeThis builds AI employees that work inside a company’s existing tools, using its knowledge and workflows to get work done across sales, support, and operations. We’re hiring our first…
Owner Inspections is seeking a full-stack developer to build and maintain their internal CRM and field service software using a TypeScript monorepo. The role involves end-to-end feature development, including AI integration, database management, and third-party API orchestration, working onsite in Manly.
Build and scale a fintech platform for private investors using React/TypeScript on the frontend and Node.js on the backend, with Next.js and GraphQL.
AI Data Engineer at a Spanish tech consultancy, designing and deploying AI solution architectures, building ETL pipelines in Python, designing APIs, and deploying to the cloud using LangChain, FastAPI, vector databases, and Docker.
Senior DevOps Engineer owning the operational stability of an internal cloud Big Data platform built on IONOS infrastructure, using Kubernetes, Terraform, ArgoCD, and open-source data tools with L2/L3 support duties.
Solutions Engineer Intern working with large datasets in Python, Pandas, and SQL to build integrations and user-centric solutions on the Partly Platform for automotive repair supply chain customers.
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