Senior Full-stack AI Engineer
Core
Design, build, and scale AI-powered applications by bridging traditional software engineering with modern AI, integrating LLMs and autonomous agents into production workflows.
Role type
Senior Full-stack AI Engineer
Builds
Scalable web applications with AI features, including responsive frontends and high-performance backends integrated with LLMs and vector databases.
Domain
Logistics / Supply Chain (Maersk) + Artificial Intelligence / Large Language Models
Deliverable
production ML models | product features
Required skills
Full-stack development (React, Next.js, Python, FastAPI), LLM integration (OpenAI, Anthropic, open-source LLMs), RAG pipelines, vector databases (Pinecone, pgvector, Milvus), cloud infrastructure (AWS, GCP, Azure), containerization (Docker, Kubernetes), CI/CD, prompt engineering, ERP systems (SAP)
Preferred skills
Multi-agent systems (LangChain, Langgraph, LlamaIndex), MLOps and observability (LangSmith, Arize, Prometheus), fine-tuning or self-hosting open-source models
Technologies
React, Next.js, Python, FastAPI, Node.js, OpenAI, Anthropic, Pinecone, pgvector, Milvus, AWS, GCP, Azure, Docker, Kubernetes, LangChain, Langgraph, LlamaIndex, LangSmith, Arize, Prometheus, SAP
Responsibilities
Design and build scalable web applications with responsive frontends and high-performance backends; Integrate LLMs, SLMs, and multi-agent workflows via APIs or custom orchestration; Manage relational databases and vector stores for RAG and real-time context retrieval; Design intuitive UX for AI interactions including streaming responses and error handling; Implement CI/CD pipelines, containerization, and monitoring for model performance and costs; Lead discussions with business users to define solution designs; Set up evaluation metrics for accuracy, cost, token usage, and response time.
Seniority
Senior, hands-on IC
