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Senior QA Engineer leads a shift to developer-led testing and AI-assisted automation for a finance-platform SaaS, coaching engineers and building agentic test generation in Java/Angular stacks.
Build and coach automated testing in a finance SaaS platform, shifting teams toward developer-led quality with AI-assisted test generation and AI-driven self-healing tests.
DevOps/Platform Engineer at Scalian Spain (100% remote) who builds and evolves modern, scalable, resilient cloud platforms working across development, data and AI teams. Requires 3+ years in Platform/SRE/DevOps roles with IaC, pipelines, cloud operations (AWS/Azure/GCP), Docker/Kubernetes, observability, plus production AI experience including agentic AI/MCP.
Leads product strategy and roadmap for Duck Creek’s AI Gateway, defining API, agent interoperability, security, and governance features, and collaborates with engineering, data science, and partners to deliver scalable, secure AI platform capabilities.
Build and deploy Python-based automation, RPA workflows, and AI agents to streamline global accounting processes at a sustainable travel company.
The Platform Engineer designs, builds, and operates Kubernetes-based infrastructure across hybrid‑cloud and on‑prem environments, using Terraform, Helm, and CI/CD tools to enable self‑service developer workflows and ensure reliability.
Applied AI engineer at Windward (Maritime AI) who builds internal AI agents and applications end-to-end — from fuzzy problem to production — for teams across the company, plus shared org-wide agentic infrastructure. Core stack: Python, Node, LLM/agentic tooling (tool calling, RAG, MCP, evals).
Build and evolve the event-sourced, distributed workflow engine and APIs that orchestrate AI agents, people, and systems for enterprise automation at scale.
Designs secure, scalable AI/ML and cloud architectures for modernizing legacy Marine Corps systems, focusing on hybrid AI pipelines, model fine-tuning, and secure integration with legacy code.
Build full-stack tools for AI-driven autonomous vehicle evaluation, enabling scenario search, mining, and agentic workflows to test and debug driving models at scale.
Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved…
Lead ML engineer at Sberbank building LLM-powered AI agents and multi-agent systems that automate B2B business management processes. Day to day: designing, training and deploying agents (LangGraph/LangChain), preparing and labeling datasets, running ML solutions in production, and coordinating with business and adjacent IT teams.
Builds and maintains data analytics and AI tooling for a RegTech company in Singapore: monitoring live data, integrating data quality controls, and configuring MCP-based services to power secure, scalable AI assistants and external agents. Full-time, hybrid role collaborating with senior engineers on workflow ownership.
Senior Data Scientist building production-grade LLM solutions — chatbots, RAG pipelines, and AI agents — combining data science, AI engineering, and software engineering. Core stack: Python, LangChain/LangGraph/LlamaIndex, MCP, and cloud (Azure preferred, AWS/GCP accepted).
Senior GenAI developer designs and implements corporate AI solutions like agents, RAG pipelines, and automations for a large mining-industry company using n8n, PostgreSQL, and Python.
Build and scale AI-powered agentic systems that automate workflows and improve productivity across Microsoft using cloud-native stacks like C#, .NET, Python, and Azure.
Design and build reusable AI agent skills using Claude Code to automate HR workflows for a Fortune 500 consulting firm, translating business needs into executable workflows.
Design and build reusable AI agent skills for enterprise workflows, translating HR processes into executable instructions for coding agents like Claude Code.
Designs and maintains reusable AI workflows (Claude Code Skills) for enterprise clients, translating business needs into structured, testable AI agent instructions while leading technical teams and platform architecture decisions.
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