Senior AI Engineer (M/F/D)

Our requirements

• 5+ years of experience in AI Engineering, Machine Learning, Applied Data Science, or a similar area
• Hands-on experience developing and running LLM-based solutions in production
• Strong Python and software engineering skills, including testing, CI/CD, version control, and observability
• Experience with RAG, embeddings, vector databases, retrieval and re-ranking
• Practical knowledge of frameworks such as LangChain, LangGraph or DSPy
• Experience designing and implementing AI evaluation frameworks
• Experience optimizing production AI solutions for performance, cost, and reliability
• Experience with tools such as MLflow, Weights & Biases, or similar
• Experience with cloud platforms such as Google Cloud
• Ability to communicate complex technical topics clearly in English and work effectively in international, cross-functional teams
• Experience mentoring engineers or leading technical work

Optional

• Experience with Kedro, KServe and Kubernetes
• Knowledge of AI security and governance in an enterprise environment
• Experience in logistics, supply chain, or another complex operational environment

Your responsibilities

• Design and develop complex AI and GenAI solutions, including LLM applications, RAG, NLP/NLU pipelines, tool-calling and agentic workflows
• Own technical solutions from problem definition and architecture through implementation, deployment, and production
• Define and develop evaluation frameworks to measure AI system quality and performance
• Optimize solutions across quality, latency, cost, reliability, and scalability
• Work with prompt optimization, retrieval, re-ranking, embeddings, caching, and model selection
• Lead technical discovery and translate complex business requirements into practical AI solutions
• Identify when AI provides real business value and when another approach may be more effective
• Support and mentor other AI engineers through design discussions, code reviews, and knowledge sharing
• Stay up to date with developments in LLMs, RAG, agentic AI, evaluation, and fine-tuning

About the project

Take a 360-degree Virtual Tour of the DSV GBS Office

• https://social.dsv.com/2QS

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

Recruitment stages

• 1.
  CV Analysis
• 2.
  Telephone contact
• 3.
  1st Recruitment meeting
• 4.
  Tests (optional)
• 5.
  2nd Recruitment meeting (optional)
• 6.
  Feedback

DSV GBS