AI-Driven Backend Engineer — Python, LLMs, Azure

KPMG AG; Zürich; On-site; CHF 120,000 - 160,000; Full time

Job summary

KPMG is seeking a software engineer to contribute to Python-based backends and AI-enabled features in a regulated financial services setting. The role involves building LLM-driven capabilities, APIs with FastAPI and SQLAlchemy, and deploying to Azure with Terraform and Docker.

Strong testing and frontend skills are valued. Fluency in English and experience with modern DevOps practices will help you thrive in our collaborative environment.

Qualifications

• Hands-on experience with Python and modern software-engineering practices.
• Knowledge of LLMs and AI agent development.
• Experience with FastAPI, SQLAlchemy and automated testing.
• Fluency in English.
• Familiarity with Azure, Terraform, Docker and CI/CD pipelines.
• Ability to develop web frontends with HTML, CSS, JavaScript/TypeScript, React/Angular/HTMX.
• Experience and passion for UX and UI Design.

Responsibilities

• Write clean, typed and tested Python code, and follow shared standards and code reviews.
• Build LLM- and agent-based features with Azure OpenAI and AutoGen, including document processing and RAG.
• Implement tests and monitoring setups for AI quality using pytest and DeepEval.
• Develops backends and APIs with FastAPI and SQLAlchemy, with working knowledge of HTML, CSS and JavaScript.
• Deploy applications to Azure using Terraform, Docker and Azure DevOps pipelines.
• Use and contribute to internal libraries and the shared platform.
• Work with growing independence on tasks in a regulated financial-services setting, from prototype to production.

Skills

Python

LLMs/AI

FastAPI

SQLAlchemy

Automated testing

HTML/CSS/JS

Azure

Terraform

Docker

CI/CD

Web front-end

UX/UI design

Tools

Azure DevOps

React

Angular

HTMX

Job description

KPMG is seeking a software engineer to contribute to Python-based backends and AI-enabled features in a regulated financial services setting. The role involves building LLM-driven capabilities, APIs with FastAPI and SQLAlchemy, and deploying to Azure with Terraform and Docker.

Strong testing and frontend skills are valued. Fluency in English and experience with modern DevOps practices will help you thrive in our collaborative environment.