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 optimize the core execution engine for AI agents that resolve customer support tickets, integrating LLMs, tool calls, and retrieval pipelines in Python on Kubernetes.
Build and lead AI agent systems that automate business workflows using Python, TypeScript, and LLM tooling like Relevance AI and Anthropic Claude.
Design and deploy autonomous AI agents on GCP’s Vertex AI, using Gemini models, RAG, and agentic frameworks to automate enterprise workflows.
Build and harden the core execution engine for Zendesk’s AI agents: planning loops, tool dispatch, retrieval pipelines, and production instrumentation to train specialized models.
Design and deploy AI agents and copilots to automate Roku TV workflows, integrating LLM orchestration, RAG, and multi-agent systems with Python and cloud tools.
Design and optimize AI-enabled data pipelines on AWS and Databricks, building scalable lakehouse architectures and MCP server integrations for next-gen AI platforms.
Build production-grade AI agents and LLM-enabled systems on Microsoft Azure, designing reasoning, planning, and tool-use workflows for enterprise-scale public-sector solutions.
Builds scalable, AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and ensuring cross-platform data governance for enterprise clients.
Builds scalable AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and leveraging AI tools to automate and optimize engineering workflows.
Builds scalable data pipelines and AI-enabled integrations on AWS and Databricks, leveraging MCP servers and modern data engineering practices.
Designs brand assets, social media graphics, and marketing materials in Figma while integrating AI tools to streamline workflows and maintain visual consistency for a digital health platform.
Lead and architect Microsoft Copilot deployments, integrating MCP with Copilot Studio, ensuring governance, observability, and enterprise-wide adoption.
Build and maintain cloud infrastructure using Terraform, Kubernetes, and Ansible, while developing backend services with gRPC and RabbitMQ for a data-driven analytics platform.
Role & responsibilities Designs and builds automated business workflows Integrates applications using APIs Automates repetitive processes Uses workflow tools like n8n, Make, Zapier, Power Automate Focuses on…
Design and deploy enterprise-grade AI systems for customer experience orchestration, integrating LLMs, RAG, and real-time data to optimize contact-center workflows and drive business outcomes.
Builds AI-powered workflows and agents using Python, LLM APIs, and tools like n8n or CrewAI to automate business processes and integrate systems.
Build and own AI/LLM systems for corporate spending management, including RAG, agent orchestration, and security controls, using Python and cloud-native tools.
Build and own Qashio’s AI/LLM platform, designing secure, vendor-neutral systems for agent orchestration, RAG, and compliance controls from prototype to production.
Build and deploy AI-driven credit scoring, cash flow forecasting, and autonomous capital allocation models for a global private credit firm.
Build secure .NET back-end services and APIs for an enterprise AI platform, focusing on durable workflows, integration endpoints, and governed MCP servers using Azure and C#.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
