科技職缺
職缺列表
Senior Agentic AI Engineer
Senior Agentic AI Engineer at Perceptive owning the design, build, and productionization of agentic AI workflows for medical imaging clinical trials. Core stack spans LLM-based systems, RAG, prompt engineering, evaluation frameworks, MLOps/CI-CD, and scalable backend/orchestration services.
Agentic AI Engineer
Design, build, and operationalize agentic AI workflows for medical imaging clinical trials at Perceptive, helping biopharma bring treatments to market faster. Core work spans LLM/RAG systems, DICOM data pipelines, MLOps deployment, and regulated-software practices.
AI Engineer
Remote AI Engineer role for Swiss consulting firm Relewant, building LLM-based, RAG, and Agentic AI applications including chatbots and voicebots using Python or TypeScript and frameworks like LangChain on AWS/Azure/GCP.
Engenheiro de Software Sênior (Java, Cloud & IA)
Senior Software Engineer at Banco BV designing and implementing resilient Java microservices on Google Cloud with Spring Boot and event-driven architectures, while integrating Generative AI/LLM solutions (RAG, Vertex AI) for the insurance sector.
Sr. AI/ML Engineer
Build modular AI agent architectures, RAG pipelines, and LLM-tool integrations to automate hardware design workflows at AMD — covering compiler error resolution, EDA output processing, and knowledge graphs for hardware specs.
Sr. AI/ML Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a…
Gen AI Architect
Design and implement enterprise-scale GenAI/AI architectures—from strategy through production deployment—owning LLMs, RAG pipelines, vector databases, agentic workflows, and MLOps on AWS/Azure with Docker/Kubernetes.
AI Software Developer
Senior AI architect at a Stockholm consulting firm, designing and productionizing LLM, RAG, and agent-based systems for clients across private and public sectors. Combines hands-on implementation with technical leadership, AI governance, and production-readiness work.
Senior Machine Learning Engineer (LLMs)
Senior ML engineer focused on designing and deploying production LLM and generative-AI pipelines — optimizing inference, building RAG and agent systems, and applying MLOps — using Python, PyTorch, AWS/GCP/Azure, and vector databases.