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This role is for a senior Python developer with 13 years of experience to build production-grade AI agents and LLM applications. The position involves working with technologies such as Google Agent SDK, Gemini, OpenAI, RAG, and vector databases in a hybrid environment.
Forward Deployed Engineer at Google Cloud who codes, debugs, and ships production-grade agentic AI solutions directly in customer environments using Vertex AI, Gemini models, Python, and RAG/vector-database architectures.
Meet Yubico Yubico is a global leader in identity security and creator of the YubiKey, the original hardware-backed passkey. We are publicly traded on Nasdaq Stockholm; our global footprint includes headquarters in…
Мы — XPGraph, компания, создающая инновационные IT-решения для бизнеса и сотрудничающая со стартапами и крупными европейскими корпорациями. Для одного из наших проектов мы ищем AI Engineer (LLM / RAG / Agents). О…
The MLOps Engineer will build and maintain secure, scalable AWS infrastructure for a production-grade agentic AI platform. The role involves managing cloud infrastructure as code, containerizing services, and implementing monitoring and security for LLM-based customer support workflows.
Data Scientists – dags att göra avtryck i höst! När löven börjar skifta färg, luften blir krispigare och hösten drar igång är det också ett perfekt tillfälle att blicka framåt – mot nya möjligheter, spännande teknik…
Build and ship AI-powered workflows (agents, prompts, knowledge bases) inside HighLevel's internal ORA platform for customer success use cases across the call lifecycle, partnering with QA and RevOps engineering.
Builds and deploys production-grade GenAI/Agentic AI systems using LLMs, RAG pipelines, and multi-agent frameworks like LangChain/AutoGen, focusing on scalability, observability, and cloud integration.
Build production-grade GenAI applications for clients in Sofia—implementing agentic workflows with LangGraph, RAG pipelines with vector databases, and LLM API integrations using async Python and FastAPI.
Не просто код, а твій вплив на мільйони українців Nova Digital — це технологічне серце екосистеми NOVA, де твій код стає частиною щоденного життя цілої країни. Про масштаб наших сервісів: 50+ млн запитів щодня…
Build and deploy machine learning models, RAG chatbots, and scalable data and model pipelines while working with large language models.
About us Behind every festival, tour, and shoot you've seen, there's a team making sure the right gear shows up, the crew knows where to be, and the schedule holds together. That's what Rentman makes…
The Applied AI Engineer will build and scale internal automation tools and production-grade RAG systems to improve operational efficiency across business units. The role focuses on maturing AI proofs-of-concept into reliable production systems using TDD, CI/CD, and infrastructure-as-code practices.
Builds and deploys AI-driven automation and RAG systems to streamline internal workflows, working closely with non-technical teams to scale production-grade solutions.
The Machine Learning Engineer will design, build, and maintain production-grade LLM agents and machine learning systems to transform unstructured enterprise content into structured metadata. The role involves developing data pipelines, agentic workflows, and monitoring model performance within an AI-first content management platform.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
This role involves leading technical design and architecture for enterprise-grade AI agent and LLM solutions. The lead will oversee backend development, RAG implementation, and CI/CD pipelines while guiding development teams.
Builds and optimizes enterprise-grade GenAI systems for Google Cloud’s Gemini Enterprise, focusing on LLMs, RAG, and agentic features to enhance productivity for millions of users.
Builds and operates AI/ML systems for healthcare supply-chain knowledge graphs: entity resolution, semantic alignment, LLM-assisted extraction, and uncertainty quantification to align hospital, distributor, and manufacturer data.
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