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Design and build GenAI agents that assist Bosch engineers with tasks like requirements analysis, documentation, and failure analysis using LLMs, embeddings, and vector databases.
Senior Software Engineer responsible for designing, building, and maintaining backend services and APIs in C#/.NET 8+, Go or Python, developing orchestration flows, containerizing services with Kubernetes, and implementing LLM use cases with Claude.
Build and deploy AI-powered automation workflows using Python/Node.js, n8n/Zapier/Make, and LLMs (Claude/Gemini/OpenAI) to streamline business processes and enable teams to self-manage solutions.
Embedded engineering manager who codes, deploys, and scales bespoke GenAI solutions for strategic partners, bridging AI prototypes to production-grade systems while feeding partner insights into Google Cloud’s AI roadmap.
Develops and maintains Playwright/TypeScript automation frameworks for web/API testing, integrating AI-driven testing and modular composable platforms to ensure scalable, efficient, and reliable QA processes across edtech platforms.
Develops a backend service in Quarkus/Java 21 to route and secure API calls (REST/MCP) to external/internal tools (weather, currency, banking ops), handling auth, streaming responses, and circuit breakers. Works with BAs, writes tests, and refactors code with CI/CD tools.
Build and automate the security layer for Workleap’s software, integrating SAST/DAST/SCA into CI/CD and developing agentic review tools to reduce human bottlenecks while ensuring safe AI-assisted development.
Designs and deploys production-grade AI agents using LLMs, agent orchestration frameworks, and enterprise systems to automate complex workflows via natural language interactions.
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.
This role focuses on improving developer productivity at Wise by building and operating internal tools, with a specific emphasis on agentic AI tooling. The engineer will lead technical initiatives, mentor other developers, and design scalable systems to support over 1,200 engineers.
Design and implement AI workflows using Python, RAG, and MCP to automate logistics processes and improve decision-making across DHL’s global operations.
This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise…
We’re looking for an enthusiastic and highly motivated Technical Support Engineer to identify, diagnose and resolve customers issues. The Technical Support Engineer will be a part of PlainID’s Professional Services…
Мультиканальная платформа информирования и управления высокоприоритетными сбоями в Банке и экосистеме Сбера с оценкой влияния на клиентские сервисы в онлайн режиме. Продукт предназначен для топ-менеджмента банка и…
About Over 8,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. powers automated communication that people…
Overview Advanced Drainage Systems is a leading manufacturer of stormwater and onsite septic wastewater solutions, committed to sustainability and innovation. With a vast manufacturing and distribution network, we…
The Product Manager will help bring the EBSCOhost AI Exchange platform to market by collaborating with cross-functional teams to integrate EBSCOhost content into AI Agents using MCP workflows.
Provide remote L2 IT support for clients, handling Microsoft 365, servers, security, and networks while troubleshooting issues and suggesting upgrades.
Designs and implements AI domain intelligence layers, focusing on ontologies, knowledge graphs, agentic workflows, and RAG/fine-tuning strategies to build scalable enterprise AI solutions.
Build AI-native apps by orchestrating agents and modern tools across frontend, backend, cloud, and ML, ensuring scalable, secure, and high-quality systems.
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