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 enterprise banking platforms and integrate AI features like document processing and decision support using Java/Node.js/Python and React/Angular with LLM APIs and RAG pipelines.
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
Build autonomous AI agents and LLM-powered apps for talent acquisition using RAG, embeddings, and vector databases.
An AI Engineer at Tractian develops and optimizes large language model (LLM) applications and backend systems, collaborating with cross-functional teams to ensure project success and efficient deployment.
As a Software Engineer, AI/ML , you will design, build, and optimize the backend systems that power intelligent agent workflows. You will work across data pipelines, APIs, and AI/ML frameworks to create reliable,…
The AI Analyst builds and maintains end-to-end AI systems, including RAG pipelines, agent workflows, and data integrations, to automate business processes using Python, SQL, and LLM technologies.
A Senior Data/AI Engineer at Guidepoint builds scalable Generative AI systems, including LLM applications and RAG pipelines, using Databricks and AKS, focusing on MLOps, responsible AI, and leading the Toronto-based AI team.
Builds and maintains an AI/context platform for healthcare, focusing on unstructured data pipelines, embeddings, retrieval, and semantic layers to accelerate AI-driven product innovation.
Lead the design and deployment of AI/ML systems for cybersecurity, focusing on LLMs, RAG pipelines, and anomaly detection to analyze security telemetry and logs.
Designs and builds a high-performance data platform for an AI-driven cybersecurity product, handling petabyte-scale security telemetry with streaming and batch processing.
Lead the design and deployment of AI systems (LLMs, computer vision, voice AI) to improve EV-charging analytics, customer support, and automation for ChargePoint’s global network.
Builds and maintains Python-based applications for clients, focusing on REST APIs, microservices, and AI/ML integrations while collaborating with teams to deliver scalable solutions.
Lead a team of data scientists to build and deploy ML solutions like GNNs, LLMs, and fraud detection models for Crunchyroll’s anime platform, guiding ML pipelines and infrastructure.
Designs and builds AI applications using LLMs, RAG pipelines, and agentic workflows, integrating foundation models via Amazon Bedrock and optimizing retrieval systems with ASP.NET.
About the role We are seeking a hands-on Senior Software Engineer to design and build a knowledge graph, ontology, and AI-enabled application related to quantum computing and design. You will work across the stack,…
Builds and scales Generative AI systems, including LLM applications and research agents, using Databricks and Azure while ensuring responsible AI practices in a hybrid Toronto role.
A Full-stack Engineer at EverHelp builds end-to-end features for AI-powered customer service products, including frontend (React/Next.js), backend (Node.js/Python), and AI components like agents and RAG systems, while designing high-load scalable systems and maintaining code.
Develops and deploys advanced AI agents at the intersection of research and engineering, focusing on Agentic RAG, context management, and multi-agent systems for real-world task execution.
Build and operate scalable backend services that power AI-driven workforce management features using Java, Python, and cloud-native tools.
AI BACKEND DEVELOPER – MADRID We are looking for an AI Backend Developer with the drive and ability to be a key member of our young and versatile sports tech development team. We are a company that pioneers and…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
