AI Engineer

We’re looking for a hands-on AI Engineer to join our core FX360 team and help build the intelligence layer inside the world's leading Embedded FX Infrastructure.

This is not an LLM or chatbot role. This is not about dashboards or UI. You will be building the decision logic that powers real-world currency risk orchestration- live, embedded, and mission-critical.

If you're excited by the challenge of making FX risk disappear for global businesses, and if you know how to translate data into confident, explainable decisions- we want you.

What You’ll Own

Design and implement rule-based and AI-supported logic to detect FX risk anomalies, scoring exposures, and trigger hedging recommendations
Build confidence layers and anomaly detection models for transaction behavior, volatility shifts, and operational triggers
Create embedded intelligence components that support (but do not override) deterministic logic
Build logic that runs in production inside a regulated, audited FX execution system
Own the AI/ML execution from prototype to production, including logging, traceability, and risk control
Work directly with the Product Architect and CTO to design modular, auditable, explainable systems

Sample Use Cases You’ll Build

Volatility-aware confidence scoring for hedging decisions
Exposure behavior anomaly detection (per client, per currency)
Real-time signal detection: “market shift alerts”
Natural-language explanation engine for FX decisions
Risk heatmap engine for prioritizing exposure handling

Requirements:

Must-Have:

3+ years of experience building ML/AI models with real production impact
Strong hands-on skills in Python, including Pandas, NumPy, Scikit-learn
Familiarity with XGBoost, LightGBM, Prophet, or similar
Ability to access, clean, and model tabular data (transactions, time-series)
Experience building scoring systems, anomaly detection, or forecasting logic
Fluent in infrastructure thinking: no UI, no “tools”- just logic + data
High ownership and independent thinking- you will own this logic layer

Nice to Have:

Exposure to FX/fintech/risk domains
Experience building audit-compliant or explainable AI components
Comfort integrating into backend stacks (FastAPI, Supabase, RESTful APIs)
Knowledge of statistical analysis, probability, and pattern recognition