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.
Leads a remote backend team building scalable Java microservices using Spring Boot, Kubernetes, and AWS, while mentoring developers and driving technical decisions.
A lawyer works with Fortune 500 legal teams to deploy AI-powered legal solutions, bridging legal workflows and product development in a fast-moving legal tech startup.
AI Engineer at Eudia in Palo Alto builds and deploys secure, enterprise-grade generative AI solutions for Fortune 500 legal teams using LLMs, RAGs, and cloud platforms like AWS/Azure.
A customer-facing engineer deploys AI-powered legal workflow solutions for government clients, bridging technical teams and stakeholders to scale secure, compliant automation.
Product Owner builds and scales AI agents for construction efficiency, managing the lifecycle of AI models and transforming building processes with stakeholders.
Senior engineer secures Nebius’ AI cloud platform by hardening Kubernetes, Linux, networks, and cloud infrastructure while automating security controls and responding to threats.
You will secure Nebius's cloud platform by embedding security into the software lifecycle, automating SAST/SCA scans, and running threat modeling for services like Compute and Managed Kubernetes.
On-site engineer deploys and validates bare-metal AI infrastructure in new data centers, coordinating racks, cabling, power, and Linux hosts to bring sites online for production GPU workloads.
Lead the design, implementation, and operation of data loss prevention (DLP) and data security posture management (DSPM) controls to protect sensitive data across cloud, SaaS, and corporate environments.
Field Network Engineer deploys and maintains data center IT infrastructure, troubleshoots hardware/network issues, and travels to support remote sites for a cloud platform company powering AI workloads.
Builds and maintains AI agent integrations with strategic partners, creates reference implementations and technical content, and drives adoption of Tavily’s search API for agentic applications.
Engineer maintains and troubleshoots cutting-edge data-center hardware and firmware for a global AI cloud platform, collaborating with teams across multiple sites.
Troubleshoot and resolve data center hardware issues, manage RMA processes, and improve IT infrastructure support for a cloud platform serving the AI economy.
Solutions Architect at a cloud platform company, advising enterprise AI customers on deploying and scaling GPU workloads for ML training and inference using Nebius’s AI cloud services.
Build and optimize GPU infrastructure for AI workloads, profiling performance across hardware and frameworks to guide platform decisions and hardware development.
Partner Solutions Architect designs and implements integrations between Nebius' AI cloud platform and strategic partners, enabling joint customers to deploy GPU-accelerated AI/ML solutions at scale.
Owns the security product vision and roadmap for a cloud AI platform, communicating compliance and security posture to customers and partners while aligning with engineering and marketing teams.
Senior Applied ML Engineer builds and deploys retrieval, ranking, and indexing models for an agent-native search platform used by AI systems to access real-time information at scale.
Senior Backend Engineer builds and scales cloud infrastructure services in Go, Java, and Python for a global AI cloud platform, handling databases, Kubernetes, billing, and monitoring.
Senior ML Engineer at Nebius to conduct applied AI research on reinforcement learning, agentic systems, and model training, using JAX and Python in a cloud infrastructure company.
We couldn't check your fit for this role — add a CV to your profile to see it next time.