AI Engineer
Description
As part of Data & AI with us, you get the chance to work at the forefront of technological development and shape the future of AI solutions. We are an innovative and collaborative team focused on creating solutions that make a difference, both for our customers and our employees. With us, you have the opportunity to contribute to building scalable, robust, and user-friendly AI solutions that play a central role in our entire business.
About the job:
As an AI Engineer focusing on generative AI, you will be a key member of our cross-functional cutting-edge team within Data & AI. We build solutions from start to finish and work with the entire lifecycle of our applications. Here, you get the opportunity to work broadly across all layers of the application and develop your understanding of how modern AI systems work in practice.
We work with several platforms
- both customer-facing and internal systems used by our employees. One of our most central platforms is our internal GPT solution, used by over 6,000 employees to streamline workflows, decision-making, and knowledge sharing.
The role focuses on three main areas:
Language models:
Develop solutions using language models and agent technology to understand user needs, identify relevant information, and make decisions about how this information should be used. You work with techniques such as retrieval-augmented generation (RAG), prompt engineering, and agent frameworks to create powerful and user-friendly AI-driven experiences.
Data processing:
Build scalable and robust data pipelines that enable users to es and extract relevant information. You are responsible for converting, structuring, and storing data in various forms, such as object storage, vector or graph databases, as well as building integrations with other systems to make information accessible.
Operationalization:
Ensure that our generative AI solutions are robust, secure, and scalable in practice. This involves managing the entire deployment and lifecycle management of the platforms
- from monitoring and troubleshooting to performance optimization and access control. You ensure that the solutions meet the high security and data protection requirements applicable in financial services and create conditions for good observability.
Requirements Who are you?
To thrive and succeed in this role, we expect you to have knowledge in some of the following areas:
We need a consultant who can support the delivery of our external AI customer chat and the development of our GPT. The role also involves contributing to our ongoing AI initiatives and helping the team drive the work forward smoothly and efficiently.
Required skills:
Celery
GPT
FastAPI
JavaScript
TypeScript
Python
Redis
Tailwind
MongoDB
React.js
PostgreSQL
Azure Container Apps
AI solutions
Azure DevOps
AI, chatbots, and smart FAQ
Docker Compose
AI system solutions
AI
Our tech stack / Nice to have skills:
Programming languages: Python, JavaScript, TypeScript
Databases: MongoDB, PostgreSQL, Redis
Frontend: React.js, Tailwind, DaisyUI
API Gateway: Nginx
Platform: Azure Container Apps
- planned for Kubernetes
Backend: FastAPI, Celery
Local development environment: Docker Compose, WSL, VS Code with GitHub Copilot
CI/CD: Azure DevOps
IaC: Bicep