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 deploy multi-agent AI pipelines using LangGraph/LangChain, integrating AWS services and OCR tools to turn designs into working agentic workflows.
Leads a team to design and deploy a multi-agent GenAI system for data-quality monitoring, using LLM agents, RAG pipelines, and Python to detect anomalies and reduce business risks.
Senior engineer building AI features end-to-end—from prototype to production—across full stack, AI layers, and healthcare domain, using agentic tools like Claude Code and modern frameworks.
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
Build and optimize ML models, LLMs, and RAG systems using Python, TensorFlow, and PyTorch, and deploy them on cloud platforms like AWS or Azure.
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Build and deploy multi-step AI agent workflows using LangChain, LlamaIndex, and platforms like Azure AI Studio Agents or AWS Bedrock Agents, integrating APIs and databases for automation.
Lead the backend and data engineering behind a next-gen RAG system, building scalable Apache Beam pipelines, Google Cloud Spanner graph queries, and FastAPI/Temporal services to power deterministic LLM agents.
Builds Python/FastAPI backends and AI-driven automation pipelines, integrating LLMs and orchestration tools while developing ERP modules and data pipelines.
Build and lead generative AI and data-science solutions, designing multi-agent patterns, tooling, and MLOps pipelines in Python/Java with cloud providers.
Design and build autonomous AI agents and multi-agent systems that automate business processes using RAG architectures with vector databases and external APIs.
Lead AI-driven full-stack projects, integrating generative AI agents and platforms using Python, TypeScript, LangChain, and Docker in a hybrid Madrid-based role.
Build AI agents and optimize backend systems using LangChain/LangGraph for an international IT consultancy.
Principal AI Engineer builds and deploys AI systems for an education-tech suite, integrating LLMs, RAG, and agentic frameworks to power admissions assistants and internal tools while leading AI adoption across teams.
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines.
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines to scale genAI across global operations.
Senior AI Engineer builds and deploys agentic LLM systems using frameworks like LangGraph and Crew AI to power Profitero+'s ecommerce analytics and automation tools.
Build and integrate AI agents to automate performance and UI testing workflows using Python, LLMs, and tools like Selenium and JMeter.
Designs and runs evaluation frameworks for enterprise AI systems, including LLMs and RAG, to ensure accuracy, reliability, and compliance before production deployment.
Design and deploy AI/ML models (LLMs, vision, agents) for clients using Python, TensorFlow/PyTorch, and cloud platforms; lead projects and collaborate directly with stakeholders.
We couldn't check your fit for this role — add a CV to your profile to see it next time.