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 AI systems for a social media app, including RAG, multi-agent LLM workflows, and generative media, using Python, LangChain/LangGraph, and GCP.
Senior AI QA Engineer designs and runs automated tests for enterprise AI apps, including LLMs, RAG systems, and AI agents, using Python, Pytest, Playwright, and observability tools to ensure accuracy, reliability, and scalability.
Leads a machine learning team to build and deploy scoring models (e.g., click and conversion predictions) for eCommerce sponsored offers, using Python, TensorFlow/PyTorch, and GCP.
Builds and deploys secure, production-grade AI solutions for U.S. government and education clients, coding agentic workflows and integrating them with customer systems under strict compliance.
Builds and deploys secure, production-grade generative AI solutions for government and education clients, integrating Google Cloud with customer systems while ensuring compliance and performance.
Salary: Up to $725/day + Super About the Role Our client is a large Australian retail business, running a significant customer-facing digital ecosystems across web and app. Their team supports the business through a…
MLOps Engineer – Python Location: Bengaluru, India Department: ADA Experience: 1-3 About Impact Analytics Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge…
Information Technology - Principal Platform Engineer, Enterprise AI Enablement Location: Support Office (Vancouver), Support Office (Seattle) Time Type: Full time Job Description THE BUSINESS We are Everyday Luxury™.…
What’s in it for you as an employee of QFG? Health & wellbeing resources and programs Paid vacation, personal, and sick days for work-life balance Competitive compensation and benefits packages Work-life balance in…
Product Owner at a Seoul-based AI company building enterprise GenAI solutions; owns product vision, roadmaps, and stakeholder alignment for AI platforms and agents.
This role focuses on ensuring the reliability, performance, and cost-effectiveness of AI and agentic workloads running on cloud platforms, using observability, SLOs, and automation to maintain high-quality production systems.
Designs and builds production-ready AI/ML systems and MLOps pipelines for clients, spanning cloud infrastructure, software development, and data science using Python, Terraform, and major cloud platforms.
Lead the design, development, and deployment of AI/ML models—including Agentic and Generative AI—to automate and optimize financial data reconciliation at enterprise scale for a global bank.
Develops and maintains cloud-native, distributed systems for datacenter networking, focusing on automation, observability, and CI/CD pipelines using tools like Kubernetes, Terraform, and OpenTelemetry.
Builds and maintains cloud-native networking software and automation tools using Python, Go, or Java, focusing on Kubernetes, OpenStack, and CI/CD pipelines.
Build AI agent consoles and dashboards for human oversight, approval, and telemetry in Equinix’s agentic software delivery platform using React, Python/Java/TypeScript, and enterprise-grade auth.
Develops, deploys, and maintains AI/ML models for a defense program using GCP, focusing on LLMs, RAG, and agentic workflows to support military operations.
Designs and maintains a large-scale healthcare data platform that integrates EHR, genomics, and imaging data to power AI-driven clinical insights for hospital networks.
Design and scale secure, HIPAA-compliant AI/ML solutions for a federal health benefits provider, focusing on LLM integration, RAG pipelines, and agentic workflows across multi-cloud environments.
Build and ship an agentic internal search engine and Perplexity-style UI for Humana employees using Python, Vertex AI, and GCP, focusing on retrieval, reasoning, and production-grade reliability.
We couldn't check your fit for this role — add a CV to your profile to see it next time.