Senior AI Software Engineer — GenAI & ML Solutions (Remote)

SBS; Greater London; À distance; GBP 110 000 - 160 000; Plein temps

Résumé du poste

SBS is seeking a skilled AI Engineer to design, build, and deploy AI-driven solutions across its financial services platforms. You will work in a Data & AI/Engineering organization, combining strong software engineering with applied AI/ML to deliver scalable, production-grade AI systems in a regulated environment.

The role emphasizes end-to-end ML pipelines, model deployment, MLOps, and close collaboration with product teams to embed AI into customer-facing solutions.

Qualifications

• Designs production-grade Python services with clean architecture and testable components.
• Experienced in REST APIs, OpenAPI specs, versioning, and backward compatibility.
• Knowledge of distributed systems, event-driven patterns, and eventual consistency.
• Able to model data flows and domain models for scalable architectures.
• Hands-on experience building production AI applications powered by LLMs (RAG, chain-of-thought, structured outputs).

Responsabilités

• Design, build, and deploy AI/ML models across SBS platforms.
• Develop end-to-end ML pipelines from data ingestion to deployment and monitoring.
• Integrate AI capabilities into banking, payments, and digital platforms.
• Collaborate with data engineers to ensure data quality and pipeline integrity.
• Stay current with AI/GenAI advancements and drive experimentation.

Connaissances

Python

Async Python

FastAPI

Pydantic

SQLAlchemy

Structured logging

OpenAPI

LLM Apps

GenAI

MLOps

APIs design

System design

Outils

OpenAI API

LangChain

Description du poste

SBS is seeking a skilled AI Engineer to design, build, and deploy AI-driven solutions across its financial services platforms. You will work in a Data & AI/Engineering organization, combining strong software engineering with applied AI/ML to deliver scalable, production-grade AI systems in a regulated environment.

The role emphasizes end-to-end ML pipelines, model deployment, MLOps, and close collaboration with product teams to embed AI into customer-facing solutions.