
4flow
4flow provides supply chain consulting, software, and managed 4PL services to manufacturers, retailers, and logistics providers. Its model combines advisory projects, enterprise software for network design and planning, and outsourced transport management. Founded in 2000 and headquartered in Berlin, the privately held company operates from 20+ locations worldwide and serves industries such as automotive, consumer goods, and life sciences.
Open Positions at 4flow
6 open positions
Lead the strategic direction of infrastructure and reliability engineering as a hands-on Senior DevOps Engineer. You will architect cloud and container platforms, automate delivery and infrastructure, lead incident response, and mentor engineers.
Join 4flow’s Bangalore team as a senior full-stack engineer building a next-generation AI-driven supply chain product from the ground up. You’ll own features end to end, from problem framing and architecture through deployment and production operations.
Lead the architectural vision for scalable, secure AI and machine learning systems across distributed teams in Europe and India. The role combines AI/ML architecture, agentic AI frameworks, cloud platforms, LLMOps, and technical leadership to turn high-impact concepts into production solutions.
Senior Lead Full Stack Engineer building and operating a next-generation AI-driven supply chain product across frontend and backend systems. The role combines hands-on architecture and development with technical leadership, mentoring, automation, and collaboration across global teams.
AI Engineer building AI agents, assistants, automation solutions, and scalable workflows for supply-chain consulting and customer applications. The role combines hands-on AI engineering with Microsoft ecosystem integrations, consulting support, and internal AI enablement.
Senior Software Engineer building scalable AI-driven applications by integrating machine learning models, APIs, and algorithms into production backend systems. The role combines hands-on software development with cloud deployment, data handling, and continuous improvement of intelligent features.