About us

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.

About the role

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.

You will

• Design, build, and improve AI/ML systems and data pipeline infrastructure, including the platforms that power large language model serving, routing, and multi-agent orchestration at scale.
• Work with and enable other engineers focused on modeling and agentic capabilities.
• Build agentic systems that leverage AI to proactively monitor, diagnose, debug, and maintain infrastructure health at scale across cloud deployments.
• Write robust code that's easy to read, maintain, and test — and set the bar for what good looks like across the team.
• Mentor more junior engineers and raise the level of engineering craft around you.

Requirements

• 5+ years of experience shipping production software, with at least some of it focused on AI/ML infrastructure or distributed systems at scale.
• BA/BS in computer science, math, sciences, or a related degree.
• Proven ability to design, build, and ship production-ready software — ideally around AI/ML infrastructure (batch processing pipelines, serving infrastructure, LLM orchestration, agent frameworks).
• Strong coding skills (Python, Go, Java).
• Track record of taking ownership of large, ambiguous problems and driving them to production without needing the path mapped out for you.
• Thrive in a customer-focused, tight-knit, and cross-functional environment — being a team player and willing to take on whatever is most impactful for the company is a must.
• A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features.

Our values

• Matter-of-fact. Why show you what's possible when we can show you what's working? We go and deliver, with real evidence. We don't pitch the future of AI — we point at the workflows it's already running.
• Cutting through the theater. Corporate life is full of "coordination theater" — meetings about meetings, tools about tools. Being sincere means calling out the theater. We don't just report on the landscape; we trade polite dashboards for honest friction.
• Ahead of the standard. This is how companies will operate. We're continuously searching the edge of what is possible, and we bring our clients with us.