Senior Full-stack AI Engineer

Team/Opportunity: We are looking for a Senior Full Stack AI Engineer to design, build, and scale AI-powered applications from the ground up. You will bridge the gap between traditional software engineering and modern artificial intelligence. You will craft responsive user interfaces, architect robust backend services, and integrate large language models (LLMs), vector databases, and autonomous agents into seamless production workflows. Key Responsibilities: Full-Stack Development: Design and build scalable web applications, including responsive frontends (React, Next.js) and high-performance backends (Python, FastAPI, Node.js). AI & Agent Integration: Integrate LLMs, small language models (SLMs), and multi-agent workflows via APIs or custom orchestration frameworks. Data & Knowledge Pipelines: Manage relational databases alongside vector stores to support retrieval-augmented generation (RAG) and real-time context retrieval. AI-First UX: Design intuitive user experiences for AI interactions, including streaming responses, intermediate thought outputs, and error handling for non-deterministic AI behavior. Deployment & Operations: Implement CI/CD pipelines, containerization (Docker, Kubernetes), and monitoring tools to track model performance, latency, and operational costs in production. Lead the discussion with business users. Understand what they need, challenge it where needed, and turn it into a clear solution design. Set up proper evaluation for every solution. Measure accuracy, cost per request, token usage and response time then improve them. Required Qualifications: Experience: 7+ years of professional software development experience, with a strong portfolio of applied AI applications (At least 5+ production deployed use cases). Frontend Skills: Proficiency in modern JavaScript/TypeScript, React, or Next.js. Backend Skills: Strong command of Python for backend services and API design (FastAPI, Flask). AI/ML Knowledge: Hands-on experience with OpenAI, Anthropic, or open-source LLMs, prompt engineering, vector databases (Pinecone, pgvector, Milvus), and RAG pipelines. Infrastructure: Working knowledge of cloud platforms (AWS, GCP, or Azure) and container tools like Docker. ERP Experience: Prior experience of working in SAP will be a plus Preferred Skills: Experience building multi-agent systems or using agent frameworks (LangChain, Langgraph, LlamaIndex) Knowledge of MLOps and observability tools (LangSmith, Arize, Prometheus) Understanding of fine-tuning or self-hosting smaller open-source models 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. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .