AI Engineer leveraging extensive AI research and engineering skills for scalable banking solutions. Focused mainly on deploying AI/ML systems and staying current with cutting - edge technologies.
About the role
- GenAI Developer designing and building production-grade AI systems for Nordic clients. Collaborating with Data and Platform Engineers to deliver end-to-end solutions in various industries.
Responsibilities
- As a GenAI Developer, you own the AI application layer end-to-end: the systems that ingest, retrieve, reason, and respond, plus the lightweight interfaces that put them in front of users.
- You're the person closest to the end customer. You turn a business problem into a working use-case, from gathering requirements and aligning stakeholders to shipping a production system people actually use.
- You come in before the solution is defined. Together with the client, you shape what gets built, then you build it.
- You work alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack.
- Your layer is where the model meets the business problem, and where the user meets the product.
Requirements
- Strong requirements engineering and stakeholder management skills, you can drive a use-case from problem definition to delivery, keeping technical and non-technical audiences aligned throughout
- Strong Python skills and solid software engineering fundamentals: clean code, testing, version control, system design
- Production experience with RAG architectures: chunking strategies, embedding models, vector search, hybrid retrieval, reranking, and retrieval evaluation
- Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI, including tool use, memory management, and multi-agent orchestration
- Experience with Azure AI Services or Azure OpenAI, including integration across Azure services in production environments
- Ability to build lightweight front-end interfaces for AI applications to make prototypes and internal tools usable beyond the terminal
- Strong plus: multi-agent architecture design, front-end development skills (React, Streamlit, or similar), containerization and MLOps awareness, experience in regulated industries, Azure AI-102 certification, prior consulting experience, Swedish language skills.
Benefits
- 30 days vacation
- hybrid work and flexible hours
- private medical insurance
- pension (ITP1)
- wellness allowance 5,000 SEK
- free choice of tools and tech
- free breakfast, soda and snacks
- yearly gatherings and AW's
- a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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