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Sapira is seeking a Senior Software Engineer to help build the engine that runs the back-office of the physical economy. You will work on a range of systems, including multi-agent orchestration and document understanding. The ideal candidate has over 5 years of experience and a BA/BS in a relevant field.
Responsibilities include designing and improving AI/ML infrastructure, mentoring junior engineers, and writing robust code. Join Sapira to reshape how the physical economy operates through innovative AI solutions.
At Sapira, we're building PHARO: the cognitive engine for heavy enterprise operations. While most AI tools are built to chat, draft emails, or summarize data, we build AI that actually executes. We deploy networks of specialized, multi-agent systems that plug directly into legacy systems, autonomously reading unstructured documents, navigating complex deterministic decision trees, and executing end-to-end workflows without human intervention. We turn slow, manual back-office bottlenecks into highly scalable digital assembly lines.
We don't build software for Silicon Valley; we build operational infrastructure for the physical economy. Our focus is strictly on high-stakes, high-volume environments like supply chain, heavy manufacturing, and logistics. And we are not just building for the future — we are operating at scale today. PHARO is already powering the back-office operations of €1B+ revenue industrial titans.
If you're excited to shape how the physical economy works, you'll help build systems deployed inside the operational nervous system of massive enterprises — deeply embedded where the real work gets done. You'll ship agentic capabilities on an extensible stack, with the craft and care required for enterprise trust, as we bring AI that actually executes to the industries that power the real world.
Sapira is looking for senior software engineers to help build the engine that runs the back-office of the physical economy. Our engineers work on a range of systems across the stack, including multi-agent orchestration, generative AI, RAG, document understanding, domain-adapted language models, deterministic workflow execution, evaluation, and experimentation. We interact regularly with customers, deeply understand their operational pain points, and use whatever tool is necessary — simple or complex — to solve their problems.