Open roles.

Join us building the products behind Solveigy's payments and compliance pilots — CorridorPay, AttestKit, BatchRail, and more. You'll work across the full stack, from API design to the policy-gated, evidence-logged architecture that runs through everything we build. This is a founding role: you'll shape not just the code, but how we build.

What you'll work on: Extending our existing pilots, building new ones from the ground up, and helping define the technical patterns future hires will follow.

What we're looking for: Strong backend/API experience (Python preferred), comfort working in ambiguity, and genuine interest in fintech, payments, or compliance.

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Help sharpen the risk and fraud logic across our product line — from explainable risk-scoring engines to structuring detection in transaction monitoring. You'll bring domain expertise our engineering team can build against, reviewing detection logic and flagging real-world edge cases we haven't thought of yet.

What you'll work on: Reviewing and refining fraud/risk detection rules, advising on FINTRAC/FinCEN reporting logic, stress-testing our pilots against real-world scenarios.

What we're looking for: Background in fraud, AML, or risk operations at a bank, fintech, or payments company; comfortable working directly with engineers, not just writing policy docs.

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Every product we build has AI woven through it, not bolted on — from pattern detection in transaction monitoring to fraud scoring in claims. You'll help take these from rule-based heuristics (deliberately transparent today) toward trained models that keep the same explainability we've built the whole company around.

What you'll work on: Moving our current explainable, rule-based scoring toward trained models; building the eval/monitoring layer to keep them explainable in production.

What we're looking for: ML engineering experience, ideally with tabular/fraud-adjacent data; strong opinions on explainability, not just accuracy.

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