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 ship AI-powered agent workflows, eval frameworks, and interfaces inside North, Cohere’s secure AI workspace, turning model capability into reliable, user-facing systems.
Design and build AI solutions for banking, focusing on RAG pipelines, LLM evaluation, and responsible AI integration into product workflows.
Designs and implements ServiceNow AI/GenAI solutions, integrating enterprise workflows and AI-driven features for large-scale platforms.
Lead full-stack Salesforce development and AI integration for government clients, building secure, scalable solutions with GenAI and DevOps pipelines in mission-critical environments.
Build and deploy next-gen generative and agentic AI systems using LLMs, RAG, and multi-agent frameworks in Python on cloud platforms.
Build and deploy AI/ML solutions, including GenAI and LLM APIs, using Azure services and Python/C#. Develop chatbots or agents with FastAPI and Microsoft Agent Framework.
Build and deploy LLM-backed AI agents for banks and hedge funds, integrating cloud and on-prem models, tool use, and retrieval systems to solve client problems.
Research and build AI-driven robotic systems for industrial automation using vision-language-action models, reinforcement learning, and sim-to-real transfer.
Designs, tests, and deploys production-grade LLM prompts and chains for client solutions and internal tools, integrating with APIs, RAG pipelines, and structured outputs.
Build autonomous AI agents that plan, collaborate, and act using frameworks like LangChain and DSPy, integrating LLMs with tools and APIs for real-world execution.
Build and integrate AI models (RAG/Agents) into business domains using Java/SpringBoot/Python and Kafka, while maintaining scalable AI infrastructure and high-throughput systems.
Principal AI Engineer designs and deploys autonomous AI agents for crypto exchange operations, including trading bots, risk detection, and customer assistants, using multi-agent systems and reinforcement learning.
Principal AI Engineer designs and deploys autonomous AI agents for crypto exchange operations like trading, security, and customer interaction using LLM-integrated architectures.
Lead the architecture and deployment of large-scale, LLM-powered chatbot systems for crypto exchange use cases, optimizing intent routing, dialogue quality, and automated evaluation pipelines.
Principal AI Engineer at OKX leads the design and deployment of large-scale, LLM-powered chatbot systems for crypto exchange use cases, focusing on real-time conversational AI in enterprise and consumer environments.
Design and deploy AI models (transformers, graph-based, agents) to detect fraud in blockchain data, safeguarding OKX’s exchange and users from scams and abuse.
Lead the design and deployment of AI-driven computer vision systems for identity verification, fraud detection, and security at a global crypto exchange, using PyTorch/TensorFlow and multimodal models.
Lead post-training and alignment of large language models using DPO, GRPO, and RLAIF; design reward models and optimize inference with vLLM/SGLang for a leading crypto exchange.
Build and improve offline LLM-based relevance metrics for Yandex Search’s thematic blocks, design ranking benchmarks, and analyze ML model quality to directly impact production ranking.
Lead the design of AI-powered voice/speech GenAI platforms for healthcare comms, enabling teams to ship scalable ML features like Call Intelligence and AI Receptionist.
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