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Senior engineer builds and operates AI-powered features for a global hotel-management platform, primarily in Python, integrating with PHP/Java systems to deliver reliable, scalable AI experiences.
Design and operate shared GenAI infrastructure for a European fintech: LLM routing, vector search, RAG, MCP gateway, and AI observability, ensuring secure and reliable agent workflows.
Builds and integrates production-grade AI features like LLM-powered agents and RAG systems into a global enterprise video platform, using Python and cloud-native tools.
The Senior SDET will lead quality engineering and test automation for cloud-native healthcare platforms, focusing on AI-driven workflows, streaming data, and distributed systems. The role involves designing automation frameworks, mentoring engineers, and ensuring compliance with medical industry standards.
Build and deploy AI-powered automation workflows for HR systems using Python, n8n, UiPath, and AWS, integrating with enterprise platforms like Workday.
At Flix, we offer a dynamic work environment with competitive pay, strong growth opportunities, and a tech-driven approach to making travel more accessible, sustainable, and affordable. Joining the People &…
The Product Owner will manage the roadmap, backlog, and delivery of API integrations and connectors, acting as a bridge between technical teams and business stakeholders. The role focuses on ensuring the reliability and documentation of integrations while leveraging AI tools to optimize product processes.
This senior full-stack developer role involves building and maintaining real estate and financial systems using PHP, Laravel, and Vue.js while leveraging advanced AI tools like Claude and Claude Code for the entire development lifecycle.
Internship exploring how to transform SRE runbooks, postmortems, and documentation into structured, versioned knowledge for AI agents like HolmesGPT and MCP, using Python/Go, Kubernetes, and Git in an instrumented lab environment.
Business analyst in SberBank’s AI team building a GenAI-powered assistant for entrepreneurs; core tech includes LLM, RAG, MCP, REST, Kafka, SQL, UML/BPMN, and Python scripting.
The Product Manager will lead the Insight & Data area at Aphex, defining core project performance measures and building data platforms to help construction teams optimize their workflows. This role involves managing a squad of engineers to deliver data-driven insights, API surfaces, and AI evaluation frameworks.
Develops backend services in Go for a multi-agent AI platform automating code generation, integrates with Git systems, and ensures data integrity and performance.
About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by…
The incumbent serves at the Secretary for the Office of the Associate Director for Patient Care Services/Nurse Executive, providing comprehensive and executive level administrative, clerical, and technical support to…
Senior AI Engineer — AI-native SDLC Platform Shine · Product & Tech · Engineering Enablement Location: Berlin (Germany) with option for 2 remote days/week, or remote-friendly across European hubs ( Berlin /…
Senior backend engineer building AI-driven infrastructure and agent tooling for a hotel-management platform using Python and AWS, with a focus on clean design and rapid iteration.
Help us build the next generation of AI-powered products Join the Data & AI organization and take ownership of engineering teams building AI-native solutions for the entire Group. This opportunity combines…
About the Job As the AI Factory Product Owner for the Global Agentic Platform, you own the product vision, strategy, and roadmap for Allianz Technology’s central AI runtime foundation. You lead the product backlog and…
Forward Deployed Engineer bridging DevRev's AI platform with implementation partners and their customers—half client-facing, half building internal tools, AI agents, and integrations using TypeScript, Python, LLMs, RAG, and serverless cloud infra.
Build AI agents and MCP servers that integrate agentic AI into developer workflows, ensuring reliable, auditable code changes and fast deployments in large codebases.
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