Job Description

Job Req Number: 120122
Time Type: Full Time

At DSV, we keep global supply chains moving – and increasingly, this includes how we use AI to support critical operations, decisions, and customer experiences across the world.

We are looking for a Mid-Senior AI Engineer who is motivated to turn emerging AI capabilities into reliable, high-impact solutions. You are curious, solution-oriented, and driven to push boundaries, drive continuous improvement, and build production-grade language systems powered by large language models.

Your responsibilities and impact

You join our AI Language Systems team that develops high-impact AI products and capabilities used across the organization. We work in agile squads aligned with different products and business domains, collaborating closely with product, research, and operational teams.

We support critical business operations by experimenting with, evaluating, and applying advanced AI, LLM, and NLP methods to solve real problems and move the business forward. Our work goes beyond research prototypes and notebook-based experimentation. We design, build, deploy, and operate reliable, production-grade AI solutions that perform at scale and deliver measurable business value.

As a Mid-Senior AI Engineer, you help shape how advanced AI and large language models are applied in real business contexts. The role combines applied AI research and software engineering. You will independently deliver AI and GenAI features of moderate complexity, owning scoped work from requirements clarification through experimentation, implementation, deployment, and initial production support.

You will work on RAG pipelines, agentic search, prompt optimization, model evaluation, fine-tuning workflows, and emerging integration patterns such as Model Context Protocol and agent-to-agent communication.

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

What you bring

Ideally, you have strong hands-on AI engineering experience, understand the fundamentals of modern AI language systems, and can translate product and technical requirements into reliable production implementations with limited guidance.

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 this role offers

• Ownership of real AI solutions used at scale in a global organisation
• The opportunity to turn cutting-edge technology into tangible business impact
• Collaboration with international teams across products, engineering, and operations
• A dynamic environment focused on learning, improvement, and shared success
• Opportunities to grow your skills and shape how AI is applied across DSV

Why DSV

You will join a global organisation with more than 150,000 colleagues across 90+ countries, working together to keep supply chains moving worldwide.

At DSV, movement creates opportunity – and your work helps transform how technology supports that movement every day. We foster a culture of curiosity, ownership, continuous improvement, and shared success, with a strong focus on the growth of both our products and our people.

Interested?

Apply today and be part of a team that keeps the world moving.

We review applications on an ongoing basis and encourage you to apply early. Please note that while the application deadline is 25 July 2026, we may close the position sooner if we find the right candidate. No cover letter is needed; just include a short motivation in your CV.

If you would like to know more about the role, you are welcome to contact Manager, Enterprise Business Development, Vasileios Iosifidis at vasileios.iosifidis@dsv.com

DSV – Global transport and logistics

Working at DSV means playing in a different league.

As a global leader in transport and logistics, we have been on an extraordinary journey of growth. Let’s grow together as we continue to innovate, digitalise and build on our achievements.

With close to 150,000 colleagues in over 90 countries, we work every day to offer solid services and meet our customers’ needs and help them achieve their goals. We know that the best way to achieve this is by bringing in new talent, fresh perspectives and ambitious individuals like you.

At DSV, performance is in our DNA. We don’t just work – we aim to shape the future of logistics. This ambition fuels a dynamic environment built on collaboration with world-class team players, accountability and action. We value inclusivity, embrace different cultures and respect the dignity and rights of every individual. If you want to make an impact, be trusted by customers and grow your career in a forward-thinking company – this is the place to be.

Start here. Go anywhere

Visit dsv.com and follow us on LinkedIn and Facebook