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 agentic AI systems to automate simulation, evaluation, and performance analysis for NVIDIA’s LPU and GPU platforms, focusing on emerging AI workloads like reasoning models and coding agents.
Build and scale the Agentforce Reasoning Engine, a Python/FastAPI service that orchestrates multi-agent workflows and integrates with LLM backends to power intelligent agent reasoning at scale.
Build and integrate AI capabilities into enterprise tools, developing APIs and automating workflows using Python and TypeScript for Trimble’s digital transformation.
Lead the design and deployment of enterprise-scale AI agent systems at Caterpillar, focusing on agentic architectures, orchestration, and integration with cloud AI platforms.
Build and deliver AI demos for AWS customers, translating GenAI capabilities into business value through hands-on tours and presentations for industries like finance, healthcare, and government.
Build and deploy enterprise GenAI tools and autonomous agent workflows to automate business processes across departments at Samsung Ads, using AWS Bedrock, Claude, and RAG pipelines.
Designs and builds AI systems and data pipelines to automate university operations, focusing on LLM integration, ML model deployment, and enterprise system integration using Python, TensorFlow/PyTorch, and cloud services.
Build production-grade AI agents using LLMs, RAG, and orchestration frameworks, integrating them into Workday’s platform for enterprise-scale deployment.
Maintain and support an in-house AI platform (Open Web UI) and its DevOps pipelines, troubleshooting issues and deploying updates for ~2,500 users while occasionally contributing to core AI platform development.
Lead the end-to-end delivery of enterprise generative AI and agentic systems, architecting production-ready solutions using hosted foundation models, RAG, knowledge graphs, and multi-agent orchestration on AWS.
Build ZoomMate’s agent harness—runtime, orchestration, tool integration, memory, and evaluation layers—so product teams can embed AI agents with minimal integration cost.
Build and deploy production-grade AI solutions using LLMs, RAG, and agents, integrating them with enterprise systems to solve real business problems.
Lead AI engineering for financial clients, building and deploying GenAI and multi-agent systems while mentoring teams and ensuring compliance with enterprise standards.
Build and deploy production-grade AI systems using LLMs, agentic workflows, and RAG for enterprise customers while collaborating with cross-functional teams.
Principal AI Engineer at a high-growth tech consultancy building agent-first AI systems and shipping production-ready solutions rapidly.
Builds secure, scalable .NET backend services on Azure, integrating AI coding tools like GitHub Copilot for development, testing, and documentation.
Build and scale AI-powered features and platforms in production, primarily using Python and cloud-native tools, to automate decisions and improve user outcomes in a fintech setting.
Build and deploy production-grade AI and LLM-powered features for a healthcare intelligence platform, scaling models with reliability and compliance across global enterprise customers.
About us Rifa AI is building the AI agents platform for contact centers in regulated industries. Enterprises in these industries want AI agents handling their customer operations and mostly can't deploy them.…
Build and improve AI agents that autonomously handle parts of the software development lifecycle, using Go/Python and modern agentic-AI techniques.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
