Senior Software Engineer

This is a forward / full-stack engineer who is AI-enabled rather than an AI specialist. The person builds pipelines, full stack features, AI service contracts — and bring AI surfaces to life inside DE product UIs and APIs, using AI tooling to accelerate their own delivery. Responsibilities: • Build and operate the data pipelines, feature that power DE AI use cases, aligned to SBS Data & AI Platform standards. • Integrate SBS AI Platform services (Gen, Agentic, Predictive) into DBS and OB through clean APIs, SDKs and event contracts, and wire them into product screens and flows. • Implement governance by design: RBAC, data classification, lineage, PII handling, audit logs and EU AI Act traceability. • Use AI-assisted tooling (copilots, MCP, agents) to accelerate delivery and extensibility, and support the QA Engineer with test data and observability. Qualifications: • 4+ years in data / backend or full-stack engineering, comfortable working across the stack. • Strong Python and SQL; streaming (Kafka), data lakes/warehouses, vector stores and orchestration (Airflow / Dagster). • Practical fluency with AI-enabled engineering — LLM serving, model gateways, prompt engineering, agentic frameworks and AI coding tools. • Banking data context (accounts, transactions, KYC, OB consent) preferred. At SBS, we’re more than just a technology company – we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Equal Opportunity Employer At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities. Show more Show less

4+ years in data / backend or full-stack engineering, comfortable working across the stack. Strong Python and SQL; streaming (Kafka), data lakes/warehouses, vector stores and orchestration (Airflow / Dagster). Practical fluency with AI-enabled engineering — LLM serving, model gateways, prompt engineering, agentic frameworks and AI coding tools. Banking data context (accounts, transactions, KYC, OB consent) preferred.

Build and operate the data pipelines, feature that power DE AI use cases, aligned to SBS Data & AI Platform standards. Integrate SBS AI Platform services (Gen, Agentic, Predictive) into DBS and OB through clean APIs, SDKs and event contracts, and wire them into product screens and flows. Implement governance by design: RBAC, data classification, lineage, PII handling, audit logs and EU AI Act traceability. Use AI-assisted tooling (copilots, MCP, agents) to accelerate delivery and extensibility, and support the QA Engineer with test data and observability.