Principal AI Engineer

Andersen is hiring a Principal AI Engineer for a project developing AI-powered solutions to enhance automation, predictive capabilities, and operational efficiency. The customer is a global technology company delivering enterprise digital platforms for automating complex operational, financial, and compliance workflows. Its solutions handle high data volumes, integrate with multiple external systems, and support mission-critical processes for international businesses, with a strong focus on scalability, reliability, and automation. The project is focused on developing and integrating AI-powered capabilities into a maritime port call management platform. It aims to improve operational efficiency, predictive capabilities, process automation, and data-driven decision-making through scalable and innovative AI solutions.

Responsibilities: - Converting manual processes to fully automated processes. - Partially automating processes when full automation is not achievable. - Helping improve efficiency for both the operations team and customers. - Reducing the amount of manual (especially repetitive) work mainly for the operations team. - Predicting answers to questions based on an existing historical knowledge base. - Predicting costs based on historical knowledge. - Chating bot style task automation.

Requirements: - Experience in AI/ML Engineer for 5+ years. - Experience with LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith. - Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration. - Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory Management. - Proven experience designing, training, and deploying ML models in production Environments. - Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines. - Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch). - Strong coding skills in languages such as Python. - Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy). - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models. - Understanding of software development life cycle (SDLC) and agile methodologies. - Experience with version control systems (e.g., Git). - Ability to analyze and interpret complex datasets. - Strong analytical thinking to identify and solve operational inefficiencies. - Ability to design and implement AI-driven solutions. - Ability to explain complex technical concepts to non-technical stakeholders. - Strong written and verbal communication skills. - Experience working in cross-functional teams. - Ability to collaborate with other developers, data scientists, and business analysts. - Level of English – from Upper-Intermediate and above.

Nice to have: - Good to have programming experience in Java. - Strong skills in python application architecuture for production deployments, mono repos, uv, microservices, frameworks such as gunicorn & FastAPI. - Strong skills in infrastructure as code specifically in Azure environment and BICEP. - Automated production grade deployments of AI/LLM models. - Production grade architecture of cloud based solution. - Strong Datascience background.

Compensation: 5000–6500 EUR per month.