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Build AI-powered applications using LLMs, RAG pipelines, and vector databases; implement agents, prompts, and APIs while owning full-stack development and CI/CD.
Build AI-powered applications using LLMs, RAG pipelines, and vector databases; implement agents, prompts, and CI/CD while integrating enterprise APIs and ensuring safety.
Build and deploy AI-powered agents, copilots, and automations to improve customer portals, service operations, and internal workflows using Python, Node.js, and AWS.
AVP / Senior Manager (C12) - USCC Operations Analytics (People Manager) Shape the Future of Operations Excellence Be a Problem Solver. Enable AI Transformation. Lead with Impact. Job Description Are you a…
Lead the machine-learning systems that rank, recommend, and retrieve restaurants and menu items for millions of diners, using deep learning, embeddings, and LLMs to optimize conversion and long-term value.
Leads AI/ML and generative AI projects, designing RAG pipelines, LLM-based systems, and production-ready models while owning end-to-end delivery, strategy, and cross-functional team leadership.
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI…
Join as a Gen AI Solutions Engineer — Premier Cloud Job Type: Full-time Travel: Up to 30% (customer sites, Google offices, industry events) Salary Range: $125,000 – $200,000 CAD per year. Actual base salary is based on…
Staff Software Engineer at Obsidian Security builds and owns core SaaS security systems, integrating with platforms like Microsoft 365 and Salesforce using backend services, APIs, and cloud infrastructure.
Own AI-focused data platform features from PRFAQ to launch, partnering with engineering and GTM to ship vector search, RAG, and agent frameworks for enterprise customers.
Build and deploy LLM-powered tools, RAG systems, and agentic workflows for autonomous aircraft systems, focusing on retrieval quality, tool integrations, and production-grade AI infrastructure on Kubernetes.
Build and deploy enterprise generative AI apps using Azure OpenAI, LangChain, and RAG pipelines; integrate LLMs into microservices and agent workflows.
Builds and maintains backend systems for a SaaS security platform protecting enterprise SaaS apps (e.g., Microsoft 365, Salesforce) via APIs, multithreaded apps, and cloud infrastructure (AWS/GCP). Focuses on threat detection, OAuth token risk management, and scalable distributed systems with AI/ML integration.
Build and deploy AI-enabled applications and agentic workflows for clients, designing the systems around models, tools, and safeguards to ensure reliability in production.
AffBulk росте – і ми шукаємо SEO-спеціаліста, який разом із нами буде досліджувати, як просувати сайти в Google AI Overviews, AI Search та відповідях інших LLM-систем. Це не класична SEO-позиція. Ми шукаємо людину для…
Build and deploy AI-driven content safety systems that protect users from harmful content using ML pipelines, agentic flows, and robust validation gates across Google’s products.
Build and scale the backend platform that powers AI-driven travel experiences, integrating LLMs, vector search, and agentic systems for millions of users.
Lead a team to design, build, and deploy production-grade ML models and AI solutions in cloud environments, translating business needs into scalable data products.
Design enterprise AI solutions using generative agents, RAG, and ITSM/AIOps workflows to automate IT support, diagnostics, and operations with human-in-the-loop oversight.
Senior ML Engineer at Doctolib builds and deploys AI systems (LLMs, retrieval pipelines, agentic AI) to improve patient access to healthcare, using Python, vector databases, and cloud-native tools.
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