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.

Must-haves:

• 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 analyse 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-haves:

• 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.

Reasons why this job would be interesting to you:

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and sports compensation, depending on the type of employment.

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