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 and run the Azure-based infrastructure that powers an AI merchandising platform, owning CI/CD, Kubernetes, and LLM integrations while ensuring scalable, observable production systems.
Build and ship AI agents end-to-end: design LLM-powered backends with RAG, vector search, and event streaming, then expose them via modern Vue/React frontends.
Build and ship AI-driven features using frontier models, agentic workflows, and full-stack engineering to power G2’s software marketplace with trusted insights.
Senior AI Engineer builds enterprise AI solutions like chatbots and copilots, integrates LLMs via APIs, and advises on secure AI adoption across a large organization.
Build and scale backend systems powering Mintlify’s documentation platform and AI tools, including APIs, content pipelines, and retrieval infrastructure for 100M+ developers.
Build and scale backend systems, APIs, and AI infrastructure that power documentation sites and developer tools for thousands of companies.
Build AI-powered tools and dashboards for a real-estate developer, integrating LLMs with Microsoft Fabric, Power BI, and company data to automate analysis and reporting.
Lead the architecture and delivery of AI-driven robotics systems for autonomous consumer products, focusing on perception, decision-making, and scalable ML pipelines.
Build and deploy AI-powered healthcare solutions using LLMs, RAG, and Azure services to automate document processing and enhance clinical insights for payors and providers.
Build and deploy production-grade agentic AI systems for regulated enterprises like banks and insurers, integrating multi-agent orchestration, RAG pipelines, and MCP servers on AWS.
Build and deploy ML models (propensity, recommendation, LTV) on AWS SageMaker and use LLMs for personalisation and analytics to drive revenue growth in a digital bank.
Builds full-stack cybersecurity tools and AI-powered solutions using cloud platforms (AWS/Azure/GCP), modern frameworks, and secure development practices.
Lead AI engineering at Deloitte, setting vision and standards for GenAI and agentic systems integrated into enterprise products while coding, mentoring teams, and driving cost-aware, secure, and scalable AI solutions.
Lead engineering vision for Deloitte’s Applied AI platforms, designing GenAI and agentic capabilities into enterprise products while coding, mentoring teams, and setting standards for scalable, secure AI systems.
Senior consultant building and deploying AI-enabled cybersecurity solutions for clients, leading engineering teams, and shaping technical proposals with hands-on full-stack development.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable AI solutions.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable, secure AI solutions.
Build and maintain full-stack web apps for clients using modern frontend frameworks and backend stacks, while actively leveraging AI coding tools to accelerate development and ensure quality.
Builds and tests UI features and AI agents in a TypeScript/Next.js 15 stack with Anthropic Claude, Liveblocks, Yjs, and Google Cloud Run.
Build AI-driven finance analytics solutions using low-code tools, prompt engineering, and data science to improve controls, efficiency, and decision-making in P&L, cost centers, and regulatory reporting.
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