Associate AI Engineer, WARSZAWA

Must-Have

✅ Degree in AI Engineering, Software Engineering, Computer Science, or a related field

✅ 1–2 years of experience in software engineering or AI-related roles

✅ Strong Python programming skills

✅ Basic hands-on experience with Generative AI systems

✅ Familiarity with frameworks such as LangChain, LangGraph, or similar

✅ Basic API development skills (e.g., FastAPI)

✅ Understanding of cloud platforms (Azure or AWS)

✅ Familiarity with databases (relational or vector) and containerization (Docker)

✅ Basic understanding of CI/CD concepts and GitHub workflows

✅ Strong problem-solving approach and willingness to learn

✅ Fluent English (written and spoken)

Nice-to-Have

⭐ Exposure to RAG pipelines and working with unstructured data

⭐ Basic knowledge of Text-to-SQL concepts

⭐ Familiarity with multimodal document parsing

⭐ Experience with Databricks ecosystem

⭐ Awareness of AI evaluation or observability tools

⭐ Interest in prompt engineering, context engineering and LLM optimization techniques
⭐ Knowledge of Model Context Protocol for tool integration

⭐ Exposure to Infrastructure as Code concepts

The Mission

AI should be practical, scalable, and embedded into real business processes. As an Associate AI Engineer, you will support the development and deployment of AI-powered solutions that enhance how teams across Consumer Health operate – from marketing and commercial to product supply and R&D.

You will work alongside experienced AI Engineers and Data Scientists to help turn prototypes into reliable, production-ready systems, gaining hands-on experience with modern AI stacks and agent-based solutions.

Why This Role Is a Great Start

🚀Hands-on learning – gain real experience building AI systems used in production
🤝Strong mentorship – work closely with experienced AI Engineers and Data Scientists
🌍Business impact – contribute to solutions used across multiple global business domains
🧠Modern AI stack – learn practical applications of GenAI, RAG, and agent-based systems in enterprise settings

,[The AI Engineering Contributor: contribute to building and improving AI systems in Python, supporting development of production-ready solutions under guidance from senior engineers. You focus on implementing well-defined components and ensuring code quality and maintainability., The Agent Implementation Supporter: assist in implementing AI agents using frameworks such as LangGraph or LangChain, helping integrate them into business processes while learning best practices for multi-agent system design., The Industrialization Supporter: participate in scaling AI prototypes into production systems, helping ensure solutions are stable, testable, and aligned with engineering standards., The Engineering Team Player: collaborate closely with Data Scientists, MLOps Engineers, DevOps Engineers, and business stakeholders, contributing to team deliverables and learning how AI solutions drive business outcomes., The Code & Quality Contributor: manage code in GitHub repositories, contribute to peer code reviews, and follow established CI/CD practices to support reliable deployment of AI applications., The Continuous Learner: actively develop your skills in AI engineering, participating in workshops, training sessions, and knowledge sharing within the team.] Requirements: Degree, AI, Python, GitHub, API, FastAPI, Docker, Cloud platform, CI/CD, Databricks, Infrastructure as Code, RAG, Text-to-SQL Additionally: Sport subscription, Training budget, Private healthcare, Lunch card, International projects, Flat structure, Free coffee, Canteen, Bike parking, Playroom, Free parking, In-house trainings, In-house hack days, Modern office, No dress code.