F
Bucharest, RO
FlowX.AI builds an AI-native agent platform letting enterprises deploy governed, deterministic AI agents across legacy mainframes and cloud systems without infrastructure changes.
FlowX.AI operates at the sharp end of enterprise AI: deploying production-grade agents inside highly regulated, mission-critical environments where failure is not an option. The FlowX.AI Platform integrates with any existing system - from COBOL mainframes to modern cloud platforms - without requiring infrastructure changes, and carries built-in governance, compliance controls and data privacy. Its library of more than 140 specialised agents accelerates onboarding, lending, underwriting and claims processing, with production deployments achieved in as fast as four weeks.
The engineering problems are unusually demanding. Platform robustness is stated at 99.99%, and outputs are deterministic rather than probabilistic - zero hallucinations, engineered to satisfy regulatory compliance. Technical domains span AI agents, legacy and mainframe integration, workflow automation, generative AI governance, cloud integration, and data privacy. The work sits across banking, financial services, insurance and logistics.
The culture prizes leverage over headcount: small teams delivering robust digital products in weeks rather than years, in a security-first, compliance-driven engineering setting. For engineers who want to solve integration and determinism problems that most AI work avoids, and to see their work run inside the systems that underpin regulated industries, this is a rare vantage point.