Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Analyze brokers and fintech platforms, then turn findings into clear reviews and AI-optimized content that shapes how models like ChatGPT describe them.
Hands-on technical leadership role building and operating Arm's central AI control plane — deploying Kubernetes-based runtime platforms, automating infrastructure with IaC/GitOps, and ensuring reliability, observability and security for AI services at scale.
Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform Build secure, high performance microservices and platform components on AWS, owning…
Full-stack engineer evolving encuesta.com, a B2B SaaS CX platform, using Python/Django, Vue, MySQL, and AWS—alongside API integrations, AI automation with MCP agents, incident diagnosis, and client meetings in a hybrid Madrid setup.
Freelance/B2B DevOps Engineer responsible for evolving a hybrid Kubernetes platform (on-premise, AWS EKS, Azure AKS), driving GitOps adoption, and integrating AI agents into infrastructure workflows for a tech-security multinational via Lognext.
Full Stack Developer working with Oracle (Forms, PL/SQL), .NET/C#, and DevOps (Azure DevOps, CI/CD) in a mostly remote role based in Madrid, with AI-assisted development practices.
Staff ML Engineer on Okta's Generative AI team, architecting and deploying production LLM/GenAI systems including RAG workflows, agentic applications, and LLMOps pipelines using Python, Claude-based systems, and modern AI agent frameworks.
Senior AI Engineer at RBC building production agentic AI and generative AI systems — including MCP servers, RAG pipelines, and multi-agent workflows — using Python, LLMs, and cloud platforms.
Lead full-stack, multi-agentic AI application engineering at RBC, building secure React/TypeScript front-ends and backend microservices (Node.js/Python/Java) on Kubernetes with CI/CD, deployed in regulated banking environments.
Designs and builds AI platform infrastructure for legal AI agents and accelerators, focusing on orchestration, retrieval, evaluation, observability, and scalable inference. Leads technical direction, mentors engineers globally, and ensures reliability, performance, and cost efficiency in production systems.
Own the deployment, operation, and reliability of AI-enabled geoscience software platforms, designing CI/CD pipelines, Kubernetes environments, infrastructure-as-code, and observability systems across Azure and AWS.
Builds AI-driven CRM software components with modern tools, focusing on scalable, high-availability solutions. Leads development with GAI tools, mentors teams, and delivers performant features in a hybrid Agile environment.
Build and maintain scalable ETL/ELT pipelines and data warehouses for a performance-marketing agency, ensuring reliability, cost-efficiency, and integration with AI tools like LLMs.
The Full-Stack DevSecOps Engineer will build and maintain a developer platform using Backstage, integrating AI-driven workflows and security automation. The role focuses on enhancing developer experience through custom plugins, CI/CD pipelines, and AI technologies like RAG and LLMs.
The Lead Data & AI Engineer will design and maintain the data foundation for a group of over 40 companies, enabling both reporting and the deployment of AI agents. The role involves building ELT pipelines, managing data models in Google BigQuery, and integrating diverse ERP systems using Python and dbt.
Builds scalable backend systems for high-volume ecommerce platforms using Node.js, focusing on distributed architectures, REST APIs, and AI-native features like agent workflows and MCP integrations.
Builds full-stack cloud applications (SPAs + backend APIs) for AI-driven analytics, market research, and ad tools, integrating LLM features and optimizing data pipelines.
Build and maintain a Fabric Lakehouse and Power BI semantic model for sales, stock, returns, and customer data, using Claude Code and MCP to accelerate analytics engineering.
Analytics Engineer building data lakes, dashboards, and live data interfaces on Microsoft Fabric Lakehouse and Power BI for a clothing retailer, using Claude Code and MCP tooling to serve trading, retail, and finance teams.
Build and maintain AI-native analytics infrastructure for a UK retail group, turning raw data into Power BI dashboards and semantic models that drive daily business decisions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.