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.
Builds and scales GenAI data pipelines, synthetic datasets, and evaluation tools using JAX, TPUs, and GPUs for XR and device projects.
Owns YouTube’s AI security roadmap, working with research and engineering to build defenses against generative-AI threats and drive secure coding practices.
Designs, builds, and maintains generative AI agents and RAG pipelines, integrates AI into enterprise systems like Salesforce and MuleSoft, and establishes evaluation frameworks for agent performance.
Build and deploy AI-powered internal tools and automations to streamline workflows across HR, Finance, and Operations using platforms like ChatGPT and Microsoft Copilot.
Builds AI-driven solutions for financial services using agentic tools, prompt/context/skills engineering, and full-stack development to deploy production-ready systems.
Leads AI-driven productivity improvements for frontend teams in Singapore, building KPI dashboards and automating workflows to cut labor hours.
Leads AI engineering efforts, turning concepts into operational solutions while managing teams and stakeholders. Focuses on AI, data science, and advanced analytics in a client-centric role.
Build and deploy LLM agents and RAG systems for banking workflows, fine-tuning models and orchestrating multi-agent pipelines in Python.
Build and integrate generative-AI and ML solutions in Python to automate business processes, design LLM-based pipelines, and deploy scalable AI systems for document processing and data workflows.
Build and maintain the AI platform and GenAI services, handling deployment, incident response, and scaling for reliable AI operations in Hong Kong.
Designs and deploys scalable cloud infrastructure for AI services, leading multi-cloud integration and AI model operationalization while optimizing costs and security.
Build and deploy AI/ML prototypes and integrations to automate workflows for finance and shared-service teams using Python, LLMs, and cloud APIs.
Design, build, deploy, and maintain enterprise AI/ML systems on Databricks, including MLOps/LLMOps pipelines and scalable AI architectures.
Design, build, and deploy enterprise AI/ML and LLM solutions using Databricks, MLflow, and cloud platforms, covering the full AI product lifecycle.
Design AI evaluation tasks, rubrics, and ground-truth datasets to assess real-world hiring workflows and model correctness.
Designs and deploys secure enterprise AI solutions on Azure for a Federal Government agency, building AI agents and RAG systems while enforcing governance and security policies.
Lead AI engineering for commerce software, designing and scaling AI agents and retrieval systems to power enterprise marketplaces and retail media.
Build and deploy production-grade AI systems, including LLMs, RAG, and AI agents, to power intelligent commerce features for Mirakl’s marketplace platform.
Build and deploy AI-powered features like RAG pipelines and agent systems using Python/TypeScript and LLM frameworks (OpenAI, Anthropic, LangChain/LlamaIndex).
Embeds with business teams to diagnose workflows and build applied AI solutions, bridging raw business problems to technical delivery in a high-visibility role.
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