AI Solutions Engineer

Philip Morris Ukraine, on behalf of its Partner, is looking for an AI Solutions Engineer. 
 

What You’ll Do:

• Translate Business Vision into Intelligent AI Solutions
  Analyze business requirements and translate them into machine learning or AI-driven solutions. Formalize problem statements, define success metrics, and propose optimal technical approaches aligned with business objectives.
• Drive Innovation with Emerging AI Technologies
  Research emerging AI approaches and implement best practices within the team. Evaluate new models, frameworks, and architectural patterns with a strong focus on business impact.
• Design High-Impact LLM & Prompt Strategies
  Develop prompt strategies and LLM-based pipelines. Optimize prompt structures, manage contextual inputs, and build stable interaction flows with large language models.
• Build Advanced RAG & Embedding Architectures
  Work with RAG architectures, embedding models, and vector databases. Design retrieval pipelines that ensure relevance, accuracy, and scalability of AI-powered solutions.
• Ensure Generative AI Quality & Reliability
  Evaluate generative model performance, including hallucination rates and response relevance. Establish testing, monitoring, and continuous improvement practices for LLM-based systems.
• Build Scalable ML & AI Solutions
  Develop and optimize large-scale data pipelines using advanced machine learning and AI. Create predictive models for segmentation, personalization, and behavioral forecasting—continuously improving accuracy and performance.
• Be a Strategic AI Partner Across Teams
  Collaborate with product managers, analysts, and developers to align on solution design and implementation. Support cross-functional decision-making by balancing speed, quality, and scalability.
   

Who Are We Looking For?
 

Hard Skills

• Higher Education in Computer Science, System Analysis, Informatics, Mathematics.
• 2+ years of experience translating complex business problems into actionable insights through hands-on analytics.
• 1.5+ years of experience in data science, machine learning, and predictive modeling.
  1.5+ years of Experience with LLMs, NLP, STT, RAG etc.
• Strong SQL and Python skills (e.g., NumPy, Pandas, scikit-learn, Matplotlib).
• Experience with BI tools like Power BI, Looker or Tableau is a plus
• Solid understanding of the ML lifecycle — from EDA to production deployment.
• English: Upper-Intermediate or higher.
   

Soft Skills

• High level of autonomy, ownership, and accountability.
• Excellent communication skills — able to explain complex ideas clearly.
• Passion for solving meaningful problems and improving consumer experience.
• Curiosity and drive to stay ahead in the fast-evolving analytics and AI landscape.
   

What We Offer: 

• Work with well-known global brands that have a strong history but are still open to trying new ideas.
• An easy entry into a global corporation with stability and long-term growth opportunities.
• A young, friendly, and experienced team that supports learning and development.
• Challenging and meaningful tasks are shaped by a highly regulated industry, where every solution requires creativity and smart problem-solving.
• Competitive level of compensation & social package.