AI Platform Engineer

Location: Ramat Gan, Israel

Company

hirify.global, operating through the Alice platform, provides AI security, trust, and safety solutions for enterprises, technology platforms, and foundation model providers.

What you will do

• Build and maintain CI/CD pipelines for reliable deployment of generative AI systems across complex environments.
• Orchestrate multiple models, agents, and MCP clients and servers within automated AI workflows.
• Develop and deploy AI solutions, agentic frameworks, command-line tools, and interactive notebooks for research automation.
• Build SQL-backed data pipelines for large-scale collection, curation, training, red-teaming, and evaluation data.
• Integrate generative AI research into production, including model and agent integration, white-box LLM development, and automated evaluation frameworks.
• Deploy HuggingFace models on AWS and integrate Dockerized environments, prompt generation, labeling, and response evaluation workflows.

Requirements

• B.Sc. in Computer Science, Computer Engineering, or a related field, or equivalent hands-on experience.
• 5+ years of experience delivering large-scale, high-performance systems on AWS, especially data pipelines and AI workflows in production.
• Strong Python and shell scripting skills, with experience writing infrastructure as code and CI/CD pipelines.
• Strong understanding of Linux systems, networking, distributed systems, scalable services, and microservices architecture.
• Production experience deploying and integrating generative AI or machine learning models.
• Hands-on experience deploying MCP clients and servers and integrating them into automated AI workflows.

Nice to have

• M.Sc. in Computer Science, Computer Engineering, or a related field.
• Experience with cluster management or HPC scheduling tools such as Slurm.
• Knowledge of Prometheus, Grafana, FinOps, infrastructure security, configuration management, or compliance tooling.
• Hands-on experience with the A2A protocol.

Culture & Benefits

• Work on AI security, trust, and safety systems used to protect more than 3 billion users.
• Collaborate on products supporting foundation model labs, enterprises, and user-generated content platforms.
• Contribute to real-time guardrails, red-teaming, model hardening, and ongoing AI risk detection.