Senior Software Engineer

Sapira Partners

Madrid

Presencial

EUR 70.000 - 100.000

Jornada completa

14 días+

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Descripción de la vacante

Sapira Partners is seeking senior software engineers to help build the engine that runs the back-office of the physical economy in Madrid. You will work on multi-agent orchestration, generative AI, RAG, document understanding, domain-adapted language models, deterministic workflow execution, evaluation, and experimentation.

As part of a collaborative, customer-focused team, you will design and ship production-ready AI/ML infrastructure, maintain scalable pipelines, and mentor peers while

Formación

  • 5+ years shipping production software with AI/ML infra or distributed systems experience.
  • BA/BS in computer science, math, sciences, or related degree.
  • Proven ability to design, build, and ship production-ready software—ideally around AI/ML infra (batch processing pipelines, serving infra, LLM orchestration, agent frameworks).
  • Strong coding skills in Python, Go, Java.
  • Track record of owning large, ambiguous problems and delivering to production.
  • Thrives in a customer-focused, cross-functional environment and is a team player.
  • Proactive and positive attitude to lead, learn, troubleshoot, and own both small tasks and large features.

Responsabilidades

  • Design, build, and improve AI/ML systems and data pipeline infrastructure, including LLM serving, routing, and agent orchestration at scale.
  • Collaborate with other engineers focused on modeling and agentic capabilities.
  • Build agentic systems that monitor, diagnose, debug, and maintain infrastructure health at scale across cloud deployments.
  • Write robust, readable, maintainable code and set high standards for the team.
  • Mentor junior engineers and raise engineering craft across the team.

Conocimientos

Python
Go
Java

Educación

BA/BS in Computer Science

Descripción del empleo

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.

All open roles

Senior Software Engineer

Madrid

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.
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