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Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Build enterprise banking platforms and integrate AI features like document processing and decision support using Java/Node.js/Python and React/Angular with LLM APIs and RAG pipelines.
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
An AI Engineer at Tractian develops and optimizes large language model (LLM) applications and backend systems, collaborating with cross-functional teams to ensure project success and efficient deployment.
Builds and maintains an AI/context platform for healthcare, focusing on unstructured data pipelines, embeddings, retrieval, and semantic layers to accelerate AI-driven product innovation.
Builds and maintains Python-based applications for clients, focusing on REST APIs, microservices, and AI/ML integrations while collaborating with teams to deliver scalable solutions.
Builds AI-powered features (agents, document intelligence, workflow automation) for Vega’s private markets platform, bridging research to production while defining AI strategy across products and internal workflows.
A Full-stack Engineer at EverHelp builds end-to-end features for AI-powered customer service products, including frontend (React/Next.js), backend (Node.js/Python), and AI components like agents and RAG systems, while designing high-load scalable systems and maintaining code.
AI Engineer will own the analysis engine, evaluation framework, retrieval systems, and agentic architecture for RIVA, a product that analyzes businesses using language models. Core technologies include Python, FastAPI, PostgreSQL, LLM SDKs, LangChain, DSPy, and vector databases like pgvector or Qdrant.
Build and operate scalable backend services that power AI-driven workforce management features using Java, Python, and cloud-native tools.
Designs and scales data infrastructure for an AI-powered property management platform, focusing on real-time pipelines, vector databases, and ML workflows while defining the data team’s culture and standards.
Senior DevOps/Platform Reliability Engineer responsible for building and evolving CI/CD pipelines, infrastructure, and observability platform for an AI-powered automation platform. Core technologies include GitHub Actions, Terraform, Kubernetes (EKS), Prometheus, Grafana, and various AWS services.
Build and deploy AI/ML models and RAG pipelines to turn Navy maintenance and logistics data into predictive tools that improve fleet readiness in a DoD GovCloud environment.
Designs and implements modern data architectures including medallion/lakehouse patterns, builds event-driven data pipelines processing billions of documents, and creates analytics infrastructure for AI/ML initiatives on AWS.
Ciklum is looking for a Senior Business Analyst to join our team full-time in the Czech Republic. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve…
AI Platform Engineer at DXC Technology in Mexico City designing and building the AI foundation for a next-gen enterprise CPQ platform, using Python, LLMs (Claude/GPT), vector databases, and MCP to transform a legacy application into an AI-native solution.
Netguru is seeking a Senior Python Developer to build an AI agent for image processing systems. This is a full-time, 3-month freelance contract requiring expertise in Python, agentic frameworks, LLM SDKs, and vector databases.
Develops and maintains AI-powered RAG pipelines for the U.S. Department of State, focusing on document ingestion, retrieval tuning, model serving, and evaluation to assist diplomatic security leaders with data-driven decision-making.
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