Senior AI Engineer

About the company:

We are a trusted, family-founded company and global pioneers with a worldwide reputation for excellence in bulk-liquid and chemical logistics, transportation, and storage. Our passion for innovation drives us to lead the industry forward. Across our logistics, shipping, and seafood businesses, we deliver world-class reliability, flexibility, and expertise ensuring that complex operations run seamlessly.
About the Role:

We are looking for an AI Engineer whose primary focus is designing and building agentic workflows that automate, refine, and optimise business processes end-to-end. Beyond agentic work, you will also contribute to developing data products and optimisation models that drive business outcomes through better decision-making. You bring a background in software engineering and applied AI, with a systems mindset toward measurable business impact.

Youll be part of our Data & AI team, working closely with business stakeholders and the platform and data teams to identify automation and optimisation opportunities, translate them into production-grade AI solutions, and continuously refine them based on performance and business feedback.

At Stolt-Nielsen, we take Digital seriously. We invest in our teams through training and mentoring and enable them with the required tools to work in a modern way (engineering laptops, Cursor licenses). As we are further building up our engineering practice, there is ample room for you to contribute, take initiative and shape the future of our ways of working and technology landscape.

What Youll Do:

• Design and build agentic workflows that automate, refine, and optimize business processes end-to-end, leveraging LLMs as reasoning and execution engines.
• Design and optimize prompts, system messages, and retrieval-augmented generation (RAG) pipelines for high-quality, reliable output.
• Integrate AI capabilities into applications via APIs, SDKs, and microservices using modern cloud and containerization technologies.
• Collaborate with business stakeholders and data team members deeply understand business processes, identify automation and optimisation opportunities, and translate them into AI solutions that add measurable value.
• Monitor and evaluate model performance using evals, observability tooling (e.g., Langfuse, LangSmith), and cost tracking; apply responsible AI principles around safety and compliance.
• Stay current with developments in AI research, tooling, and optimisation techniques, and proactively bring innovative approaches into production.

What Youll Bring:

• Bachelors or masters degree in computer science, Machine Learning, Artificial Intelligence, or a related field.
• 5+ years of hands-on experience in software development, of which 2+ years building production AI solutions (agentic systems, LLM integrations, or workflow optimisation).
• Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain/LlamaIndex/Pydantic AI
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
• Experience building production-grade machine learning deployments on Azure.
• Experience integrating AI into production systems (e.g., via REST APIs or Node.js)
• Experience consuming and building MCP servers
• Experience with AI services and PaaS services for running workloads in cloud platforms (we use Azure)
• Excellent communication skills and ability to translate technical concepts into business impact.
• Curiosity and drive to explore emerging AI capabilities, with a focus on applying them to real operational and commercial problems
• Experience in CI/CD pipelines, automated testing, and Agile delivery.

Must Have Skills:

• Python
• Azure services (AI services, data/storage)
• Infrastructure-as-Code (Terraform / Bicep / ARM Templates
• RAG (Retrieval Augmented Generation)
• Any Agentic AI Frameworks
• Agentic/LangChain/LlamaIndex/Pydantic AI

Nice to Have Skills:

• Node.js / Angular / React a strong plus for candidates who also have frontend integration experience
• GIT and understanding of CI/CD