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This role involves designing and deploying AI-powered applications, including agents, copilots, and RAG solutions, using frameworks like LangChain and Python. The engineer will integrate these AI systems into enterprise environments and contribute to best practices for AI development.
What we’re looking for Great AI and machine learning capability only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed…
AI Engineer focused on search and retrieval-augmented generation (RAG) systems, building on information retrieval fundamentals including vector search, embedding models, and chunking strategies. US citizenship required.
The Generative AI Engineer will develop cloud-native AI applications and build scalable RAG solutions using platforms like Azure AI Foundry, AWS Bedrock, or Google Vertex AI. This is a 12-month contract role focused on enterprise AI integration and production deployments.
Designs and builds AI systems end-to-end, integrating LLMs, RAG pipelines, and AI agents while optimizing performance and cost using modern AI coding tools.
Build AI-native features from scratch using React, Node.js, and TypeScript, integrating LLMs and scaling systems for monday.com’s AI platform.
Builds and deploys AI-driven agentic platforms for enterprise clients, integrating LLM agents with existing systems using Python, Kubernetes, and modern AI frameworks.
The Senior AI/ML Engineer will build and scale production-grade Generative AI solutions, including LLMs, RAG, and AI agents, for construction software products. The role requires strong software engineering skills, proficiency in Python, and experience with Azure or AWS cloud platforms.
Build and ship AI-powered features like LLM agents and event intelligence for a large-scale incident management platform, working with LLMs, retrieval, and distributed systems.
The AI Front End Engineer will build and integrate Generative AI solutions into corporate systems, connecting LLMs and RAG architectures with traditional microservices. The role focuses on backend-heavy integration using Node.js, TypeScript, and Google Cloud Platform.
As a Senior AI Engineer at Zenity, you develop autonomous AI agents for security tasks and build the Control Plane that governs them, using GenAI tools, backend programming languages, and big data technologies.
The AI Engineer will develop and orchestrate GenAI models and RAG applications using Python, LangChain, Haystack, and LlamaIndex. The role involves building backend logic, integrating APIs, and automating workflows to solve business process requirements.
Senior Solutions Engineer owning technical strategy in enterprise deals across APAC for Qdrant's open-source vector search engine—designing vector search architectures, building production-grade POCs, and acting as a technical account manager using technologies like vector search, RAG pipelines, and distributed systems.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. Ready to engineer the future of AI in finance? Join our team to build intelligent solutions that revolutionize Credit…
IEK GROUP – один из ведущих производителей на рынке электротехнического оборудования. Мы разрабатываем и производим инновационные решения для энергетики, промышленности и инфраструктуры. Кого мы ищем? Мы приглашаем…
Build and refine AI systems that power iconic game characters, ensuring responses stay true to their lore through prompt engineering, RAG, and evaluation frameworks.
Designs and builds scalable cloud-based data and AI platforms using Databricks, focusing on robust pipelines, Lakehouse architectures, and GenAI solutions.
Forward Deployed Engineer driving LLM/Gen AI client delivery — scoping solutions, prototyping with AI tools, and owning outcomes across data platforms, RAG pipelines, and cloud services (AWS/Azure) in a consulting model.
Senior Staff Software Engineer at SentinelOne designing and evolving cloud-native systems for AI-powered cybersecurity detection, hunting, and response at massive scale.
Build and deploy enterprise-grade AI agent systems using Databricks, MCP, and Anthropic Claude, integrating multi-agent frameworks with complex data estates for regulated industries.
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