Senior AI Engineer

About Marsk:

Maersk, the world’s largest integrated logistics company, is transforming how goods move across continents — and at the heart of that shift is platform-led AI. Through MIDAS (Maersk Integrated Data and AI Solution), we are building an enterprise-grade data and AI foundation that powers operational intelligence, customer copilots, agent-based automation, and emissions optimization at global scale.

We’re hiring a foundational team to build our AI/ML Platform - a composable, governed, multi-tenant layer enabling enterprise-wide GenAI, RAG pipelines, and ML lifecycle management. If you’re excited to architect and scale real-time LLM infrastructure, reusable ML workflows, and agentic systems, this is your moment.

Overview:

As Senior AI Engineer, you’ll design and implement scalable GenAI workflows—covering prompt chaining, vector retrieval, and agentic task execution. You’ll contribute directly to the platform’s reusable components powering copilots and domain-specific assistants.

Key Responsibilities:

• Build end-to-end RAG workflows including chunking, embeddings, and retrievers
• Develop and iterate prompt templates for multi-turn, classification, and generation tasks
• Implement agent flows using LangChain/LangGraph or similar
• Instrument prompt tracing, latency, and evaluation logic for production safety
• Collaborate with ML engineers, data engineers, and domain partners to enable reusability

Ideal Candidate Profile:

• 5–8 years in applied ML, NLP, or backend engineering
• 1–2 years of direct experience with GenAI or LLM-based system development
• Strong Python skills, with exposure to LLM orchestration tools and vector search platforms
• Experience with prompt design, token optimization, and evaluation frameworks (e.g., RAGAS)

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.