AI Engineer

Project overview

Assignment Description

As an AI Engineer focusing on generative AI, you will be a key person in a cross-functional spearhead team within Data & AI. The team builds solutions from end to end and works with the entire lifecycle – from idea and architecture to development, deployment, and further development.

One of the organization's most central platforms is an internal GPT solution used by over 6,000 employees to streamline workflows, decision-making, and knowledge sharing.

You will primarily work in three areas:

Develop solutions based on language models, RAG, and agent technology. You will work with prompt engineering, tool calling, and agent frameworks, among other things, and make technical trade-offs regarding quality, cost, performance, and security.

Build robust backend and data solutions that make the AI applications scalable and usable. The work includes APIs, data pipelines, databases, and integrations with other systems.

Ensure that the AI solutions function stably and securely in production. You will work with deployment, CI/CD, observability, monitoring, performance, and access management, as well as requirements for security and data protection.

Tech Stack

• Generative AI and Language Models
• Data and Backend
• Operationalization
• Languages: Python, JavaScript, and TypeScript
• Databases: MongoDB, PostgreSQL, and Redis
• Frontend: React.js, Tailwind, and DaisyUI
• API Gateway: Nginx
• Platform: Azure Container Apps, with a planned transition to Kubernetes
• Backend: FastAPI and Celery
• Local development environment: Docker Compose, WSL, and VS Code with GitHub Copilot
• CI/CD: Azure DevOps
• Infrastructure as Code: Bicep

Requirements

To succeed in the role, we expect you to have:

Meritorious

Personal Qualities

As a person, you are curious, self-driven, and confident in your technical expertise. You thrive on complex problems where the solution is not always obvious and can make qualified technical trade-offs.

• Several years of experience in software and backend development, preferably with Python.
• Practical experience with generative AI and LLM-based solutions, such as RAG or agent solutions.
• Experience in designing technical solutions and making architectural decisions.
• Experience with cloud platforms, containerization, and CI/CD.
• Good understanding of APIs, databases, and distributed systems.
• Experience in building and deploying solutions in production.
• Understanding of security, scalability, and observability.
• Ability to independently drive technical initiatives from identified problem to finished solution.
• Vector search, embeddings, and vector databases.
• Agent frameworks and advanced LLM architectures.
• Kubernetes and Infrastructure as Code, for example, Bicep.
• MLOps or LLMOps.
• AI security and guardrails.
• Asynchronous programming, for example, with Celery.
• Experience in coaching other developers or establishing technical working methods.
• Frontend skills.

Project details

Stockholm

Start Date: November 12, 2026

End Date: June 30, 2027

Scope: 100%

• Start: 2026-11-12
• Remote: onsite
• Location: Stockholm, Sweden, SE
• Languages: Swedish