We are actively recruiting for a tier-1, US-headquartered digital banking SaaS company that powers mission-critical platforms for leading banks and credit unions globally.
If you are an applied AI practitioner who specializes in autonomous agents, real-time decisioning, and large-scale model deployment, this role offers direct impact across enterprise-grade FinTech systems.
Open Positions:
- Lead AI Scientist: 4+ years of core AI/ML experience
- Principal AI Scientist: 6+ years of core AI/ML experience
What You Will Do:
- Architect, build, and deploy AI Agents, GenAI features, and real-time decisioning engines from conception to production.
- Drive intelligent features across digital banking platforms, including fraud detection, smart personalization, and conversational assistants.
- Build end-to-end MLOps pipelines on GCP, serving high-throughput APIs (FastAPI) backed by vector databases.
- Implement Open Banking use cases through data aggregation, third-party AI integrations, and predictive analytics.
- Uphold strict standards for model governance, explainability, and responsible AI.
What We Are Looking For:
- Proven track record building autonomous agents, prompt frameworks, fine-tuning LLMs/Transformers, and deep learning architectures.
- Strong software engineering in Python paired with production deployment experience.
- Background in GCP, FastAPI, Vector Databases, and enterprise CI/CD MLOps.
- Prior experience in SaaS, FinTech, or banking platforms is strongly preferred.
