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About the role The AI Engineer (LLM/Agent) will own the conversational layer that describes Purefacts’ ML model outputs to end users, develop a “Revenue Assistant” Agent from R&D through to prototype, and design…
Senior ML engineer builds NLP and computer-vision models to automate returns, disputes and call-center reviews for a large marketplace.
Build and operate cloud-native GenAI infrastructure for PayPay Card, enabling teams to deploy and run RAG systems, agents, and AI workloads reliably and cost-effectively on AWS.
Lead AI engineering for commerce software, designing and scaling AI agents and retrieval systems to power enterprise marketplaces and retail media.
Build and deploy production-grade AI systems, including LLMs, RAG, and AI agents, to power intelligent commerce features for Mirakl’s marketplace platform.
Build and deploy AI-powered features like RAG pipelines and agent systems using Python/TypeScript and LLM frameworks (OpenAI, Anthropic, LangChain/LlamaIndex).
Lead AI/ML engineering projects, building and deploying LLM applications with RAG pipelines and MLOps tooling.
Build and deploy LLM-powered AI systems, RAG pipelines, and agent workflows using Python and cloud platforms for enterprise clients.
Build and deploy AI-powered tools and products for a fintech platform, using LLMs, RAG, and agentic workflows to automate workflows and enhance customer experiences.
Our AI Platform & Edge team sits at the heart of how SumUp is scaling intelligent, merchant-facing experiences across millions of interactions. We build and operate the AI systems — from LLM-powered assistants to…
Designs and owns production-ready AI and GenAI solutions, including LLMs, RAG, agentic systems, and MLOps/LLMOps pipelines, ensuring reliability, safety, and cost efficiency.
Build and deploy ML models (LLMs, NLP, vision) using PyTorch/TensorFlow and integrate them into Bosch’s software systems for industrial and consumer applications.
Lead AI Engineer designs and deploys ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps pipelines to build scalable AI solutions for Bosch’s product portfolios.
Build and maintain full-stack Python (FastAPI/Flask/Django) and React apps with MongoDB, AWS, and Terraform, owning end-to-end delivery of scalable cloud-native features.
Build and deploy AI/ML models for aeronautical domains, including transformers, reinforcement learning, and RAG pipelines, to optimize air traffic and support decision-making.
Build and deploy AI agents using Python, LangChain/LlamaIndex, and vector databases with OpenAI/Azure OpenAI APIs.
Designs cloud-native data platforms and AI systems using LLMs, RAG, and agentic frameworks to build scalable, intelligent solutions for enterprises and public agencies.
Lead AI-assisted SDLC patterns for cloud software stacks, guiding OpenStack-derived services and AI coding agents to accelerate code analysis, refactoring, and documentation while ensuring auditability and security.
Builds and deploys AI agents for HR workflows: prototypes, RAG pipelines, and production-grade Python code with FastAPI, PostgreSQL, Kafka, and GPU infra.
Design and automate cloud infrastructure and CI/CD pipelines for AI platforms on GCP, build MLOps pipelines with Vertex AI and RAG, and implement monitoring for LLM systems.
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