AI Engineer

Project overview

Assignment description

We are looking for an AI Engineer with a focus on generative AI to join a cross-functional team within Data & AI. The role covers the entire lifecycle of AI solutions, from idea and architecture to development, deployment, and further development.

You will work with solutions based on language models, RAG, and agent technology, including prompt engineering, tool calling, and agent frameworks. The role also involves making technical trade-offs regarding quality, cost, performance, and security.

You will also work on building robust backend and data solutions that make AI applications scalable and usable, such as APIs, data pipelines, databases, and integrations with other systems. An important part of the role is also to ensure stable and secure operation through work with deployment, CI/CD, observability, monitoring, performance, access management, security, and data protection.

The technology stack includes Python, JavaScript, TypeScript, MongoDB, PostgreSQL, Redis, React.js, FastAPI, Celery, Azure Container Apps, Docker Compose, Azure DevOps, and Bicep.

Requirements

Meritorious

Personal qualities

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.

• You have several years of experience in software and backend development, preferably with Python.
• You have practical experience with generative AI and LLM-based solutions, such as RAG or agent solutions.
• You have experience in designing technical solutions and making architectural decisions.
• You have experience with cloud platforms, containerization, and CI/CD.
• You have a good understanding of APIs, databases, and distributed systems.
• You have experience in building and deploying solutions in production.
• You have an understanding of security, scalability, and observability.
• You have the ability to independently drive technical initiatives from problem to finished solution.
• You have experience with vector search, embeddings, and vector databases.
• You have experience with agent frameworks and advanced LLM architectures.
• You have experience with Kubernetes and Infrastructure as Code, such as Bicep.
• You have experience with MLOps/LLMOps.
• You have experience with AI security and guardrails.
• You have experience with asynchronous programming, such as Celery.
• You have experience coaching other developers or establishing technical working methods.
• You have frontend knowledge.

Project details

• Start: 2026-11-16
• Remote: hybrid
• Location: Stockholm, SE, SE
• Languages: Swedish