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 ) and high-performance backends (Python FastAPI ).

• 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 .

• 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.

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