Principal AI Engineer

Andersen·Минск·5 дн назад

Principal AI Engineer

🏢 ОфисMiddleПолная занятость

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Навык востребован (AI). Но вилки нет, про деньги придётся договариваться с нуля.

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Чем предстоит заниматься

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

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

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

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

Дополнительно

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