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 scale enterprise-grade full-stack apps using React, Node.js, and cloud services, integrating AI features like copilots and RAG while ensuring performance and security.
Lead AI engagements, design full-stack systems, and deploy production-ready prototypes using React, Python, and RAG architectures for enterprise clients in Kyndryl’s Frisco lab.
Build and deploy enterprise-grade generative AI systems (LLMs, RAG, agents) for Citi’s operations, integrating models like GPT-5 and Claude into Python services and APIs.
Build and ship production-grade AI agents using C#/.NET, React, and Azure OpenAI, spanning UI, orchestration, and evaluations.
Build and deploy ML and GenAI models for security, anomaly detection, and developer tools at a DevSecOps platform company.
A senior engineer embedded with enterprise clients to advise on AI governance, scope AI projects, and build production-ready solutions using LLMs and agentic workflows.
Build and deploy enterprise-grade AI systems, including LLM agents, retrieval pipelines, and AI gateways, using Python/TypeScript and modern AI engineering patterns.
Build and deploy generative-AI solutions using LLMs, RAG, and AI agents in Python on AWS, integrating with enterprise systems for a U.S. client.
Design and demo AI-powered developer tools and cloud-native apps for enterprise customers, guiding them through secure, scalable AI adoption and modernizing their workflows with Microsoft’s AI stack.
Build and run an enterprise AI platform integrating multiple LLM providers, deploy autonomous agents for business workflows, and implement RAG systems with safety and governance controls.
Build and deploy production-grade AI solutions for enterprise clients using LLMs, RAG, and agent frameworks, owning the full lifecycle from discovery to optimization.
Build and deploy AI-powered agents that integrate with Microsoft ecosystems (Teams, Dynamics 365, Graph) using C#/.NET, Azure OpenAI, and MCP servers to solve enterprise customer-service automation challenges.
Build and deploy AI-powered backend services and agentic systems using Kotlin/Java and modern AI orchestration frameworks to automate workflows and enhance Target’s CircleCard platform.
Build and deploy AI-powered financial services using LLMs, agentic systems, and vector search; design scalable Kotlin/Java microservices with Kafka and PostgreSQL.
Design and lead production-grade AI solutions, especially LLM-based generative AI, from architecture to deployment, collaborating with cross-functional teams and ensuring scalability, security, and responsible AI.
Design and build generative AI solutions using LLMs, agent architectures, and cloud platforms for enterprise clients, from ideation to production deployment.
Builds full-stack cloud apps on GCP with Terraform, integrating LLMs and agentic AI to automate industrial analytics and decision-making for Ford’s mobility products.
Build AI-powered analytics tools for Ford’s mobility data, using full-stack development, GCP/Terraform, and LLM-driven agentic workflows to automate industrial decision-making.
Build and operate AI agents that automate cloud infrastructure management using Kubernetes, Terraform, and Python/Go on AWS/Azure/GCP.
Design, build, and deploy AI-powered applications and agents on Azure to automate workflows and enhance carbon-management solutions for global clients.
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