Senior Full-stack AI Engineer

Damco Spain SL; Hinoba-an; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Maersk is seeking a Senior Full Stack AI Engineer to design, build, and scale AI-powered applications from the ground up. You will bridge software engineering with advanced AI, crafting responsive UIs and robust backends, and integrating LLMs, vector stores, and autonomous agents into production workflows.

You will lead discussions with business users, set up evaluation metrics for accuracy, cost per request, and latency, and implement CI/CD, Docker and Kubernetes deployment, ensuring reliable,

Qualifications

• 7+ years of professional software development experience with AI applications.
• Strong backend/API design experience using Python (FastAPI/Flask).
• Hands-on with OpenAI/Anthropic or open-source LLMs and RAG pipelines.

Responsibilities

• Design and build scalable AI-powered web applications with React/Next.js frontends and Python backends.
• Integrate LLMs, vector stores, and multi-agent workflows into production systems.
• Develop data pipelines with relational DBs and vector stores for real-time retrieval.
• Lead stakeholder discussions and translate needs into robust architecture and UX.

Skills

Python

FastAPI

Flask

Node.js

React

Next.js

API design

LLMs

RAG

LangChain

LangGraph

LlamaIndex

Tools

Docker

Kubernetes

Pinecone

pgvector

Milvus

AWS

GCP

Azure

Job description

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).

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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