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#VemPraLuby💙 Aqui você terá a oportunidade de: Evoluir em um ambiente de alta performance: Uma cultura onde o desenvolvimento é contínuo, com autonomia e envolvimento em projetos nacionais e internacionais que…
Build and maintain secure Java/Spring Boot backend services and APIs, and integrate agentic AI workflows (LLM agents, RAG, tool-use) for UK government digital services.
About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the…
Senior Applied AI Engineer - Applied AI About Santé Santé is the #1 operating system for local retailers. Our platform runs the entire store — point of sale, integrated payments, eCommerce, inventory management,…
Представь IT-аутстаффинг, в котором ты строишь мосты между наукой и продакшном. В нашей компании Decart IT мы создаем условия, чтобы твоя экспертиза работала на полную мощность. Мы берем на себя всю логистику:…
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.
# Senior Full-Stack Engineer ## Job Summary We are looking for a **Senior Full-Stack Engineer** to build and maintain scalable, high-performance enterprise web applications. The successful candidate will own both…
Build full-stack components for AI pilots, including backend services, API integrations, and frontend implementations, contributing to JD Power's Power Agents library and working with Snowflake and AI frameworks like LangGraph.
This role involves building and operating the data foundation for client AI and analytics solutions, including designing ingestion pipelines, lakehouse architectures, and governed semantic layers. The engineer will work closely with AI engineers and data scientists to ensure data is audit-ready and optimized for AI consumption.
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.
We build AI agents that actually work in enterprise environments — not prototypes, not demos. We need engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API…
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.
Title: Backend ML Engineer Reports to: Senior Software Architect Location: North Sioux City, SD Job Description: Sterling Computers is a technology company that provides IT solutions to a variety of clients, including…
Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful…
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.
AI-Enabled Full Stack Engineer designing, building, and delivering modern digital solutions using full stack engineering expertise combined with AI-assisted development tools. Works across entire application stack (frontend, backend, APIs, data services) while leveraging AI coding assistants and integrating AI capabilities into products using technologies like Java/Spring Boot, .NET, Python, Node.
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