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.
Build secure, isolated microVM sandboxes for AI coding agents, ensuring safe, disposable runtime environments across macOS, Windows, and Linux.
Build and optimize backend services for a large-model platform, implementing cloud-native features like service mesh and high-availability patterns for multimodal LLM inference.
Lead architecture and engineering for GCP relational databases (Cloud SQL, AlloyDB, Spanner) and integrate AI-driven capabilities into enterprise-scale data platforms.
Own Vanta’s agent ecosystem products (MCP, CLI, plugins) to make compliance tools accessible to AI agents like Claude Code and internal tools, defining strategy and shipping developer-facing products.
Build and maintain scalable data pipelines and AI-enhanced analytics infrastructure for a top mobile game publisher, using AWS, Python, Spark, and AI coding tools.
Build and maintain Java/Quarkus backend services and APIs while using AI tools like GitLab Duo and Claude Code to accelerate coding, testing, and debugging.
Build and own backend services end-to-end using Java 17+, Spring Boot, and AI-native workflows with agentic tools like Claude Code or GitHub Copilot.
Leads the product strategy and roadmap for AI-native security features like Agent Control and NHI Governance, translating threat research into requirements for securing AI agents and workloads in a cybersecurity SaaS company.
Own end-to-end quality for new features using manual and automated testing with Playwright, REST APIs, and AI-assisted QA tools like Claude Code.
Researches and builds AI agent systems using MCP/A2A, React/Next.js, Node.js, and cloud tools; validates tech via proofs of concept and deploys production-grade services with monitoring.
Build and operate AI-centered full-stack products using React/Next.js, Node.js, and AI agents; deploy on GCP with Docker/Kubernetes and ensure reliable production operations.
Act as a bridge between JFrog’s engineering teams and the global developer community, creating technical content and demos while gathering community insights to shape product direction.
Build and deploy full-stack AI applications and agentic workflows for enterprise clients, turning ambiguous problems into production systems with measurable impact.
Build and lead backend systems integrating GenAI/LLMs, designing scalable AI pipelines and agentic workflows in Python/Java/Spring Boot on AWS.
Build and maintain reusable AI skills for Claude Code, translating business needs into robust, agentic workflows and prompt/context engineering solutions.
Senior backend engineer building greenfield payment systems in Java/Spring Boot, integrating FX, payouts, and AI agents for a global fintech provider.
Lead the strategy and architecture of HighLevel’s Voice AI platform, building intelligent phone agents that handle inbound/outbound calls, integrate with CRM workflows, and scale across global SMBs.
Build and own a full-stack AI-driven logistics platform using Java, Spring, Python, and React, deploying on Kubernetes and cloud services.
Lead AI strategy for Bumble’s recommendation, ranking, and personalization systems, building production-grade ML models and AI agents with PyTorch and LLMs to boost engagement and safety.
Build AI agent orchestration tools and MCP servers that expose enterprise workflows to AI agents, integrating data and tools into governed, repeatable processes.
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