The Role
Design, build, and own the platform that converts enterprise data into business-accurate semantic representations. Implement backend logic, schema design, APIs, data pipelines, versioning, and governance. Drive architecture decisions, integrate AI tools, deliver end-to-end features, and collaborate across engineering and product teams.
Summary Generated by Built In
At Cirql One, we are building the foundational layer that connects enterprise data to AI: a layer that doesn't just relay information, but genuinely understands it, making business meaning explicit, trusted, and actionable at scale.
The problem we're 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. We've spent decades inside these environments. We know the problem intimately, and we've 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 won't hand things off. You'll see them through, and you'll 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 doesn't.
* 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. You're fluent across APIs, data modeling, and cloud infrastructure — and you make technical decisions that hold up over time, not just under today's constraints.
* Pragmatic by design. You don't 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 you're 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. You're 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 what's being built, how the business is doing, and where we're going.
If this role sounds like the right challenge, send us your CV.
The problem we're 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. We've spent decades inside these environments. We know the problem intimately, and we've 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 won't hand things off. You'll see them through, and you'll 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 doesn't.
* 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. You're fluent across APIs, data modeling, and cloud infrastructure — and you make technical decisions that hold up over time, not just under today's constraints.
* Pragmatic by design. You don't 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 you're 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. You're 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 what's being built, how the business is doing, and where we're going.
If this role sounds like the right challenge, send us your CV.
Skills Required
- Experience building data-intensive or distributed systems
- Fluency with APIs, data modeling, and cloud infrastructure
- Ability to make principled, long-term technical decisions
- Strong problem-solving and analytical thinking
- Clear written and verbal communication
- Collaborative team player who shares knowledge
- 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
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The Company
What We Do
Cirql One is a governed reasoning engine for Enterprise AI that transforms SAP and enterprise systems into structured, reusable business reasoning. It provides an SAP-native semantic intelligence layer that allows AI models and agents to have a shared, business-accurate understanding of enterprise data, acting as a system of reason for intelligence, metrics, and AI automation.
