Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and evolve a B2B SaaS platform that finances energy-efficiency retrofits using AI-driven regulatory engines and LLM tools in Python, FastAPI, and vanilla JS.
Build and maintain AI-powered developer tools and infrastructure to streamline product teams' workflows using Node.js, Python, and modern frameworks like Angular 18.
Build and maintain monitoring connectors in Perl (and future Rust) for Centreon’s infrastructure-supervision platform, integrating with APIs, SNMP, and SDKs while improving performance and usability.
Build and optimize AI deployment pipelines for customers, bridging research and production while ensuring scalable, robust ML infrastructure.
Build and scale AI agents and GenAI workflows in Python/Node.js to boost developer productivity and software quality, integrating with CI/CD and vector databases.
Principal AI Data Engineer builds and deploys GenAI/AgenticAI systems on Azure and Databricks, focusing on RAG, AI agents, and scalable workflows.
Lead a team to build enterprise-scale generative AI and agentic systems using LLMs, RAG, and multimodal pipelines for Mastercard’s Business & Market Insights group.
Design and scale an enterprise AI platform using Red Hat OpenShift and OpenShift AI, focusing on container-native MLOps, LLM serving, and automated benchmarking for production deployments.
Обязанности: Наша команда разметки данных помогает обучать искусственный интеллект. Приглашаем в команду Центра подготовки данных для машинного обучения Менеджера проектов. ЧТО МЫ ПРЕДЛАГАЕМ: удаленную работу годовую…
Oversee rail-signaling projects for major rail infrastructure, coordinating teams to design and implement safe, compliant systems while managing schedules, budgets, and multi-disciplinary interfaces.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like…
Build and deploy LLM-powered applications for federal systems using RAG, vector databases, and AWS Bedrock/Python, focusing on scalable, secure GenAI solutions.
Lead AI engineering efforts to deploy customized AI systems for enterprises in high-stakes industries like finance and healthcare.
Build AI-assisted tools to analyze OpenStack cloud services, map APIs and dependencies, and generate handover documentation for large-scale enterprise cloud platforms.
Build AI-assisted workflows to automate software development lifecycle tasks like code analysis, dependency discovery, and documentation generation using Python, orchestration frameworks, and AI models.
Build AI-assisted validation pipelines to analyze large cloud-platform codebases for security, dependencies, and maintainability, then produce evidence packs for due-diligence handovers.
Deploys open-source LLMs (Llama 3, Mistral/Mixtral) and vector databases on-prem for a utility services firm in Philadelphia.
Design and deploy AI-powered voice agents that conduct healthcare recruiting interviews, translating customer needs into structured prompts, flows, and scoring rubrics while iterating based on real-world performance.
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