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.
Design and deploy enterprise AI agents using frameworks like LangGraph or LangChain, integrating them with business systems and workflows.
Build and lead large-scale .NET full-stack systems for CBA’s wealth platforms, using ASP.NET Core, React, AWS, and event-driven architectures to power high-volume customer journeys.
Build and deploy production-grade AI agents and RAG systems to automate network troubleshooting and change management using Python, C#, and agent frameworks.
AI Digital Product Sr Manager – AI Platforms Location: India - Hyderabad Remote Type: On Site Time Type: Full time Job Description Career Category Information Systems Job Description Join Amgen’s Mission of Serving…
Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
Designs and builds scalable cloud data pipelines on GCP and AWS, integrating batch and real-time streams into data warehouses and lakes while collaborating with AI teams on GenAI and agentic systems.
Build and deploy full-stack agentic AI applications using Python, React, and LLM frameworks like LangGraph or AutoGen, integrating RAG pipelines, MCP servers, and DevOps practices for enterprise clients.
Design and lead AI-powered test automation frameworks using LLMs, RAG, and agentic AI. Build intelligent testing workflows and integrate them into CI/CD pipelines.
Design and deploy AI-powered workflows and agents using LLMs and automation tools to automate business processes and improve productivity.
Builds AI-powered workflows and agents using Python, LLM APIs, and tools like n8n or CrewAI to automate business processes and integrate systems.
Builds and deploys AI-driven agentic platforms for enterprise clients, focusing on LLM orchestration and multi-agent systems using Python and modern AI frameworks.
Build and deploy AI agents and GenAI solutions using Azure AI Foundry, OpenAI, and LangChain, focusing on RAG pipelines, copilots, and agentic workflows.
Build and maintain AI Agent applications using LLMs for intelligent Q&A, task planning, and workflow automation in energy-storage systems.
Build and deploy AI-powered web apps and APIs for a digital asset platform, integrating LLMs, RAG, and agentic frameworks with Java Spring Boot, Kubernetes, and AWS.
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, integrating LLMs, RAG, and vector databases with full-stack Python/React systems in a regulated environment.
Design and deploy multi-agent AI systems for logistics workflows, integrating LLMs with enterprise tools using frameworks like CrewAI and LangGraph.
Architect and build production-grade AI agent systems that reliably process enterprise data, integrating LLMs, RAG, and multi-agent workflows while ensuring consistency and auditability in regulated environments.
Builds full-stack AI applications using GenAI models, cloud services, and modern web tech to create conversational interfaces, admin portals, and AI orchestration pipelines.
Build AI-powered integrations and agent-driven workflows using TypeScript and LLMs to automate data collection and orchestration across systems.
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