Build the modeling engine that powers everythingAt Fluxion, the backend is not CRUD.
You’ll build the core computational engine that evaluates, simulates, and reasons over complex graph-based business models.
This role sits at the intersection of:
- Graph theory
- Constraint systems
- Simulation engines
- Performance-critical backend architecture
- Applied mathematics in production systems
We are building infrastructure for reasoning over structured models — not just APIs.
What You’ll Do
- Design and implement a graph-based modelling and simulation engine
- Build high-performance evaluation pipelines for scenario analysis
- Develop algorithms for propagating changes across interconnected model nodes
- Handle consistency, determinism, and edge cases in complex constraint systems
- Optimize computation over large, structured datasets
- Integrate AI reasoning into deterministic backend logic
- Make architectural decisions balancing correctness, performance, and scalability
About You
- Have built computationally intensive backend systems (not just REST APIs)
- Are comfortable implementing non-trivial algorithms from scratch
- Have strong foundations in data structures, algorithms, and complexity analysis
- Have worked with graph-based systems, constraint solvers, modelling engines, or simulation frameworks
- Think deeply about correctness, determinism, and failure modes
- Care about performance at the algorithmic level — not just infrastructure scaling
Strong plus signals
- Background in Computer Science, Mathematics, Physics, or similar quantitative field
- Experience with modelling systems (financial modelling, optimisation, simulation, planning systems)
- Experience designing evaluation engines or rule engines
- Experience with distributed consistency or event propagation systems
FI
