Вакансии: AI Engineering

Develop advanced AI solutions, including LLM-based systems, intelligent agents and RAG architectures, and help bring them from design into production.

Build software on an AI-powered platform, using AI tools across the development lifecycle and developing production agent capabilities. Contribute to engineering practices and knowledge sharing.

Project-based opportunity for an experienced, hands-on software architect to lead customer-facing discovery and deliver production GenAI systems. The work spans application development, cloud infrastructure, security, and integration with enterprise systems.

An organization is seeking an experienced, independent engineer with architectural thinking to build intelligent communication solutions using WhatsApp and AI agents. The role involves developing agent-based systems, complex business processes, and enterprise integrations with generative AI, and may

Build production AI platforms and help a large financial institution become AI-first. The role focuses on production-grade LLM systems and platforms that other engineers can build on.

Develop LLM agents and production AI systems that investigate and remediate cloud security threats. Work across research, experimentation, and product engineering to deliver autonomous security workflows.

Join a global cloud infrastructure company as a hands-on, customer-facing engineer focused on LLM inference products and autonomous agents. Lead customer adoption and technical implementations, while identifying opportunities for account growth. The role is remote-first.

Develop practical, scalable AI solutions that improve business processes, productivity, and decision-making. Work with cross-functional teams to identify opportunities and deliver solutions from initial concepts through production and ongoing improvement.

Build and improve production AI systems that automate vulnerability remediation and secure container image rebuilding. The role combines agent engineering, evaluation systems, container workflows, and production infrastructure. Work arrangement: hybrid in Tel Aviv.

Build AI agent systems and full-stack product features, from data pipelines and backend services to React interfaces. Collaborate with product, design, and data teams to bring AI capabilities into production.