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 AI agents for advertising using LLMs, RAG, and vector databases to enhance generative AI capabilities in a hybrid work environment.
Build and maintain cloud-native .NET Core and React/Angular apps for fintech compliance and payments systems, integrating AI tools and DevSecOps practices.
Build an AI-powered travel-booking platform: Angular MFEs, .NET microservices, MongoDB catalogs, and AI agent pipelines for advisors.
Builds an AI-powered travel itinerary platform using Angular, .NET, MongoDB, and event-sourced microservices, integrating AI agents and search pipelines for advisors.
Lead the fine-tuning and deployment of LLMs to power NPR’s audience personalization and metadata systems, ensuring ethical AI, factual accuracy, and scalable cloud pipelines.
Lab Summary: Advanced Intelligence Lab at Samsung Research America is working towards a vision of a world-class voice assistant that provides a unified AI experience across multiple devices (Galaxy Smartphones, Galaxy…
Build and ship production-grade agentic AI systems in Python, integrating LLMs with tools, memory, and multi-agent workflows on Azure AI Foundry for real customer use cases.
Lead the design and deployment of AI agents on Snowflake Cortex, building scalable data pipelines and semantic layers to power intelligent experiences for Material Bank’s global material marketplace.
Senior AI Engineer builds production-grade AI agent systems, designs agentic workflows, and deploys Python-based services using FastAPI, vector search, and Kubernetes.
Senior AI Engineer Remote — US only · Full-time Are you passionate about building AI products people actually use, serving millions of users? Do you want to help lead the AI engineering effort at this country's…
Lead the engineering and deployment of production-grade generative AI systems, including LLMs and multimodal models, with a focus on scalability, reliability, and MLOps in an enterprise energy-tech environment.
Design and deploy secure enterprise AI solutions using Azure AI services, building RAG systems, AI agents, and vector search pipelines for a large Federal Government environment.
Designs and deploys secure, governed AI solutions on Azure OpenAI, building RAG agents, APIs, and vector search pipelines while ensuring responsible AI practices and cybersecurity compliance.
About ExTrac ExTrac is a decision intelligence company used by governments, defence organisations, financial institutions, and corporates operating in complex, fast-moving environments. Our capabilities fuse curated…
About the Role As a Product Owner on MCO’s eComms Compliance team, you will own the roadmap for a new scrum team dedicated to AI feature development across our communications surveillance and archiving solutions, which…
Build AI-powered finance copilots and chat experiences that help companies automate spend management using LLMs, retrieval, and structured financial data in a production-grade system.
Lead the design and deployment of enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while implementing RAG, agentic solutions, and MLOps pipelines.
MongoDB presales architect provides technical guidance to customers, demonstrating how MongoDB’s database platform solves their data challenges.
Build and deploy ML models end-to-end for e-commerce pricing, forecasting, recommendations, and A/B testing to drive revenue and margin.
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