At Cirql One we are building the foundational layer that connects enterprise data to AI: a layer that doesnt just relay information but genuinely understands it making business meaning explicit trusted and actionable at scale.
The problem were solving is deceptively hard. SAP runs the core operations of more than 90% of Fortune 500 companies. The data is reliable. The meaning however is buried inside 30 years of configurations customizations and undocumented logic that no AI system can interpret on its own. Weve spent decades inside these environments. We know the problem intimately and weve built our company around a single conviction: before AI can truly scale inside the enterprise business meaning must be made explicit.
Cirql One is that missing link: an enterprise semantic intelligence layer that gives AI models and agents a shared business-accurate understanding of enterprise data. Our vision is to become the system of reason sitting above SAP where intelligence metrics and AI automation are defined governed and executed.
For a talented driven and collaborative engineer working at Cirql One is an opportunity to build something genuinely important at the ground floor with a team that takes both the craft and the mission seriously. That is our promise to such a candidate.
Tasks
- Build the semantic core. Design evolve and own the platform that transforms raw enterprise data into structured business-accurate meaning from data extraction pipelines to semantic storage versioning and governance.
- Own features end-to-end. Take a problem from schema design through backend logic API and the edges of the frontend. You wont hand things off. Youll see them through and youll care about every layer.
- Shape architecture. Make principled technical decisions and explain them clearly. Balance long-term platform coherence with the speed that early-stage demands. Push back when it matters. Adapt when it doesnt.
- Amplify your impact with AI. Integrate the most powerful AI tools into your development workflow across design implementation testing and documentation to move faster while maintaining high standards for correctness and reliability.
Requirements
- Backend depth. You have solid experience building data-intensive or distributed systems. Youre fluent across APIs data modeling and cloud infrastructure and you make technical decisions that hold up over time not just under todays constraints.
- Pragmatic by design. You dont have a default stack. You reach for whatever serves the problem: the right language pattern and tool for the task. You can defend that choice clearly.
- Sharp thinking. You break down complex problems methodically and reach well-reasoned conclusions. You know how to separate signal from noise and youre comfortable making decisions under uncertainty without waiting for the perfect answer.
- Clear communicator. You express ideas precisely in code in writing and in conversation. You can walk a non-technical colleague through a technical decision without oversimplifying it.
- Collaborative by default. You share knowledge freely back the best idea regardless of where it came from and make the people around you better. Youre someone colleagues genuinely want to build with.
Nice to Have:
- Experience with data pipelines ETL/ELT systems or data lake architectures
- Background in semantic systems (knowledge graphs ontology mapping data catalogs)
- Exposure to SAP data structures or enterprise ERP environments
- Prior startup experience. You know what early-stage actually means.
Benefits
- Competitive compensation. Fair and attractive pay that reflects the seniority and impact of the role.
- A growing team. We are scaling deliberately bringing in people who raise the bar. Your scope grows as the company does.
- People who care. Everyone on the team is deeply invested in the problem and committed to doing the work well.
- Full transparency. No filtered updates. Everyone knows whats being built how the business is doing and where were going.
If this role sounds like the right challenge send us your CV.
At Cirql One we are building the foundational layer that connects enterprise data to AI: a layer that doesnt just relay information but genuinely understands it making business meaning explicit trusted and actionable at scale.The problem were solving is deceptively hard. SAP runs the core operations...
At Cirql One we are building the foundational layer that connects enterprise data to AI: a layer that doesnt just relay information but genuinely understands it making business meaning explicit trusted and actionable at scale.
The problem were solving is deceptively hard. SAP runs the core operations of more than 90% of Fortune 500 companies. The data is reliable. The meaning however is buried inside 30 years of configurations customizations and undocumented logic that no AI system can interpret on its own. Weve spent decades inside these environments. We know the problem intimately and weve built our company around a single conviction: before AI can truly scale inside the enterprise business meaning must be made explicit.
Cirql One is that missing link: an enterprise semantic intelligence layer that gives AI models and agents a shared business-accurate understanding of enterprise data. Our vision is to become the system of reason sitting above SAP where intelligence metrics and AI automation are defined governed and executed.
For a talented driven and collaborative engineer working at Cirql One is an opportunity to build something genuinely important at the ground floor with a team that takes both the craft and the mission seriously. That is our promise to such a candidate.
Tasks
- Build the semantic core. Design evolve and own the platform that transforms raw enterprise data into structured business-accurate meaning from data extraction pipelines to semantic storage versioning and governance.
- Own features end-to-end. Take a problem from schema design through backend logic API and the edges of the frontend. You wont hand things off. Youll see them through and youll care about every layer.
- Shape architecture. Make principled technical decisions and explain them clearly. Balance long-term platform coherence with the speed that early-stage demands. Push back when it matters. Adapt when it doesnt.
- Amplify your impact with AI. Integrate the most powerful AI tools into your development workflow across design implementation testing and documentation to move faster while maintaining high standards for correctness and reliability.
Requirements
- Backend depth. You have solid experience building data-intensive or distributed systems. Youre fluent across APIs data modeling and cloud infrastructure and you make technical decisions that hold up over time not just under todays constraints.
- Pragmatic by design. You dont have a default stack. You reach for whatever serves the problem: the right language pattern and tool for the task. You can defend that choice clearly.
- Sharp thinking. You break down complex problems methodically and reach well-reasoned conclusions. You know how to separate signal from noise and youre comfortable making decisions under uncertainty without waiting for the perfect answer.
- Clear communicator. You express ideas precisely in code in writing and in conversation. You can walk a non-technical colleague through a technical decision without oversimplifying it.
- Collaborative by default. You share knowledge freely back the best idea regardless of where it came from and make the people around you better. Youre someone colleagues genuinely want to build with.
Nice to Have:
- Experience with data pipelines ETL/ELT systems or data lake architectures
- Background in semantic systems (knowledge graphs ontology mapping data catalogs)
- Exposure to SAP data structures or enterprise ERP environments
- Prior startup experience. You know what early-stage actually means.
Benefits
- Competitive compensation. Fair and attractive pay that reflects the seniority and impact of the role.
- A growing team. We are scaling deliberately bringing in people who raise the bar. Your scope grows as the company does.
- People who care. Everyone on the team is deeply invested in the problem and committed to doing the work well.
- Full transparency. No filtered updates. Everyone knows whats being built how the business is doing and where were going.
If this role sounds like the right challenge send us your CV.
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