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Build and scale cloud infrastructure and Kubernetes clusters for LlamaIndex’s AI document-understanding platform, enabling reliable LLM deployments and agentic workflows.
About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads…
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our…
LAKEORA is a Riyadh-based data and AI advisory firm and a pure-play Databricks partner. We build the governed data platforms that Saudi enterprises run their decisions on, going deep on one platform rather than wide…
AI / Prompt Engineer (Python, LLM) Про компанію Ми створюємо AI-продукти та внутрішні інструменти на базі сучасних LLM (OpenAI, Claude, Gemini та ін.). Шукаємо технічного спеціаліста, який зможе проєктувати, розробляти…
Build and ship AI-native features for a product-analytics platform, including RAG pipelines, agentic workflows, and LLM-powered tools, from prototype to production while owning reliability and cost at scale.
Senior Backend Engineer building a new Data Platform and AI-driven document ingestion agents at Jus Mundi, a legal tech company. Day to day involves designing agentic orchestration, a transactional Postgres-backed catalog/API, and document processing pipelines using Python, LLMs, and Kubernetes.
Senior Backend Engineer building an AI agent-driven data platform for legal document ingestion, processing, and cataloging at Jus Mundi. Core tech: Python, Postgres, LLM/agent orchestration, Kubernetes.
You’ll be the public face of Dapr and Diagrid, growing the open-source community, creating demos and content, and explaining distributed systems and AI agents to developers.
About the Role Forward is scaling fast, and we need senior engineers who can grow with the platform — not just build features, but harden, secure, and extend the system. This role is a core contributor on our…
Unser AI-Team entwickelt Lösungen, die bei unseren Kunden produktiv im Einsatz sind: von einzelnen AI-gestützten Prozessen über Conversational-AI-Systeme bis hin zu einer eigenen, souveränen und modularen AI-Plattform…
Build internal AI solutions and LLM architectures (RAG, vector search) using Python or JavaScript under mentorship for a spiritual wellness platform.
AI Consultant developing generative AI solutions for public sector clients, focusing on NLP, RAG, LLMs, chatbots, and AI agents. Works in interdisciplinary teams to design and implement scalable AI systems while advising public sector clients on AI projects and compliance requirements.
Senior Software Developer role responsible for designing, developing, and maintaining high-quality C++ applications, mobile and web apps, and AI/ML solutions for a fintech firm, integrating trading technologies and managing infrastructure.
Lead a team of software and AI engineers at ServiceNow to design, build, and deploy AI-native applications using LLMs, agents, and RAG systems, with full ownership across coding, testing, and production monitoring in a cloud environment.
The Staff AI Platform Engineer will design and maintain a secure, scalable platform for deploying autonomous AI agents across multi-cloud environments like AWS, Azure, and OpenShift. The role involves building platform capabilities for observability, identity, and runtime orchestration while mentoring engineering teams.
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.
Kroll is hiring a Data Science Manager to lead and grow our data science function within the Enterprise Data Group. This role sits at the intersection of technical leadership and strategic delivery — you will shape how…
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
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