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.
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics, anomaly detection, and generative AI integrations, while mentoring staff and managing client engagements.
Design autonomous network solutions for telecoms using AI frameworks (Vertex AI, LangGraph), APIs, and vector databases to optimize agentic systems and reduce inference costs.
Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.
Build and deploy production-grade ML services for adtech, focusing on scalable pipelines, MLOps, and cloud-based model serving on GCP.
Own the AI-powered natural-language layer for a SaaS platform: define the product strategy, architecture, and evaluation systems that let users ask questions, retrieve knowledge, and safely execute actions across CRM, automation, and workflows.
Build AI-driven security tools using LLMs and autonomous agents for malware analysis, threat hunting, and incident response at Google Threat Intelligence.
As an Artificial Intelligence (AI) Sales Specialist, you will help us grow our AI business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver…
Build and deploy production-grade GenAI applications for enterprise clients, integrating LLMs, RAG, and agentic workflows with Python and modern AI frameworks.
Principal Data Engineer builds and governs GCP-based data pipelines and ML-ready datasets for AI/GenAI systems, partnering with ML teams to enable training, inference, and monitoring at scale.
Designs and implements security controls for AI systems, including model protection and adversarial ML, on cloud platforms like Google Cloud.
Lead product strategy for Google’s host networking stack powering AI training and inference, collaborating with engineers to deliver high-performance libraries and telemetry for TPU, GPU, and standard compute systems.
Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
Design and implement scalable GCP data pipelines using BigQuery, Pub/Sub, and Dataflow for enterprise clients in banking and financial services.
Principal AI Engineer designs and builds a centralized AI platform and agentic frameworks for healthcare use cases, integrating clinical NLP, structured evidence graphs, and policy engines while ensuring regulatory compliance.
Build and maintain ML pipelines, deploy models via APIs/containers, and monitor performance for government AI projects using cloud-native tools.
Build and deploy AI-powered solutions using Python, LLMs, and cloud tools like GCP; develop RAG, agentic workflows, and prompt-based applications under senior guidance.
Engineering Manager (AI) Location: North Sydney, New South Wales Time Type: Full time Job Description Company Description Nine is Australia’s largest locally owned media company. Working at Nine, you’ll have access to…
Build and ship ML systems that autonomously optimize ad spend for retail-media advertisers using Python, GCP, and reinforcement learning alongside emerging LLM-based planning layers.
We couldn't check your fit for this role — add a CV to your profile to see it next time.