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 optimizes inference stacks for large-scale Apple foundation models, enabling AI features across services like Siri and Photos with low latency.
Build and maintain AI inference infrastructure using Python, Kubernetes, and Argo CD to deploy and manage LLM services for a government customer.
Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from…
Optimize and deploy large language models for enterprise customers, tuning inference engines and post-training pipelines to meet performance targets.
Company: Qualcomm Middle East Information Technology Company LLC Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: About Us As a leading technology innovator, Qualcomm pushes the…
Build and deploy AI automation pipelines and agentic systems using Python, LLM APIs, and AWS to solve defense-related tasks for a Ukrainian government-focused tech company.
Senior ML engineer builds NLP and computer-vision models to automate returns, disputes and call-center reviews for a large marketplace.
On-site engineer deploying and optimizing AI systems for regulated clients using Kubernetes, Docker, and AI-driven automation tools like vibe coding and agent swarms.
Own and evolve the Kubernetes-based platform that powers Menlo’s AI stack, including hybrid cloud ops, CI/CD, observability, and GPU inference serving for humanoid robotics.
Designs end-to-end AI systems (agents, LLM services with RAG, memory, tool calling) and embeds them into an enterprise stack while controlling latency, cost, and stability.
Build and deploy AI-powered tools and products for a fintech platform, using LLMs, RAG, and agentic workflows to automate workflows and enhance customer experiences.
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And…
Build and deploy AI-powered prototypes and production systems using LLMs, computer vision, and graph-based AI, optimizing models with PyTorch and Nvidia tools.
Build and deploy scalable AI systems that turn physical-world data into enterprise intelligence, focusing on energy efficiency and sustainability across industries.
Senior ML Engineer builds and operates cloud-native ML systems for multimodal healthcare data, including clinical document analysis, medical text processing, and conversational AI agents using GCP tools.
Build and operate secure Kubernetes-based platforms for AI-assisted software development, including GitOps, private registries, and observability, ensuring security and auditability in sovereignty-sensitive environments.
Build and operate scalable GPU-powered infrastructure for real-time AI model inference using frameworks like vLLM or Triton, ensuring high availability and cost efficiency.
Builds AI-native services using LLM agents and RAG pipelines, implementing FastAPI backends, tool-calling loops, and vector-DB retrieval for autonomous cloud operations.
Build AI agents, fine-tune LLMs, and deploy RAG systems for internal security tools using PyTorch, LangChain, and vLLM.
We couldn't check your fit for this role — add a CV to your profile to see it next time.