AI Engineer (M/F/D)

Key responsibilities

• Independently deliver scoped AI, GenAI, NLP, and RAG features of moderate complexity

• Develop and enhance RAG pipelines, including document parsing and ingestion, chunking and metadata strategies, query transformation, retrieval and ranking, response generation and grounding

• Build GenAI features using LLM APIs, structured prompting, and orchestration frameworks (e.g., LangChain, LangGraph, DSPy, etc.)

• Evaluate AI system performance using practical methods such as retrieval metrics, response quality assessment, hallucination analysis, latency measurement, cost analysis, and failure-case testing

• Understand engineering trade-offs across model quality, latency, cost, reliability, maintainability, and implementation complexity

• Own features end-to-end – from clarification and experimentation to deployment and initial support  

• Translate requirements into user stories and provide implementation plans, as well as own features end-to-end throughout the software development lifecycle - from clarification and experimentation to deployment and initial support

• Identify risks, dependencies, and data limitations early and propose workable solutions

• Challenge unclear requirements and contribute with pragmatic, value-driven alternatives

• Stay close to new developments in LLMs, RAG, prompt optimization, model evaluation, fine-tuning, and applied AI frameworks, and assess where they create real business impact

To succeed and thrive in the role, you bring:

• A degree in Computer Science, Software Engineering, AI, Machine Learning, or similar- or equivalent professional experience

• 3+ years of professional AI engineering/applied data science experience, including hands-on experience with AI, NLP, machine learning, deep learning, or language-model-based applications

• Strong Python skills and experience building clean, maintainable, and production-ready software

• Hands-on experience with GenAI or LLM-based solutions or open-source models

• Solid understanding of software engineering practices (testing, CI/CD, version control, etc.)

• Experience with model evaluation, monitoring, or experiment tracking tools (i.e., MLflow or similar).

• Ability to work in cross-functional, agile teams and communicate clearly in English

Nice to have:

• Experience with cloud platforms such as Google Cloud or similar

• Familiarity with RAG architectures, embeddings, vector databases, and retrieval techniques

• Exposure to fine-tuning or model optimization approaches

• Experience with Kedro for building modular, reproducible data and ML pipelines, and KServe for scalable, production-grade model deployment and inference on Kubernetes

• Knowledge of agentic workflows, tool-calling systems, agentic search, MCP, or A2A integration patterns

What we offer :

• Employment based on an employment contract, along with a comprehensive benefits package 

• Training and development programs, as well as access to an e-learning platform 

• Onboarding program with the support of a dedicated Buddy 

• Participation in an annual, company-wide integration event 

• A work environment based on Scandinavian organizational culture 

• Opportunities for growth through our internal program 

Benefits:

• Sharing the costs of sports activities 

• Private medical care 

• Sharing the costs of foreign language classes 

• Sharing the costs of professional training & courses 

• Life insurance 

• Integration events 

• Corporate gym 

• Corporate sports team 

• Coffee / tea 

• Parking space for employees 

• Extra social benefits 

• Holiday funds 

• Christmas gifts 

• Employee referral program 

• Charity initiatives 

• Bicycle parking 

• Modern and ergonomic office 

• Yoga in the office