AI Engineering Lead

DEUNA

AI Engineering Lead developing DEUNA's AI-powered payment intelligence platform. Owning the full technical stack from model development to real-time observability and integration.

Posted 5/23/2026full-timeSan Francisco • California • 🇺🇸 United StatesSeniorWebsite

About the role

Key responsibilities & impact

Design, train, and fine-tune ML models for payment optimization use cases.
Select and apply the right frameworks per model type and latency budget.
Own the model lifecycle including experimentation, offline evaluation, A/B testing, and production promotion.
Architect and build optimized data pipelines for model training and inference.
Integrate ML model outputs into DEUNA's live payment routing and orchestration layer.
Own the full observability stack for Athia: dashboards, alerting thresholds, anomaly detection.

Requirements

What you’ll need

6+ years in software engineering with strong backend foundations.
2+ years in a Tech Lead or Staff Engineer role owning a production platform end-to-end.
Demonstrated experience shipping ML/AI systems to production — not just research or notebooks.
Background in payments, fintech, or high-transaction environments strongly preferred.
Experience with on-premise deployment or hybrid infrastructure for enterprise clients is a plus.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Benefits

Comp & perks

Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ML modelspayment optimizationdata pipelinesA/B testinganomaly detectionbackend developmentML/AI systemson-premise deploymenthybrid infrastructuremodel lifecycle

Soft Skills

leadershipownershipexperimentationevaluationcommunication

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineering