Associate AI Engineer

O projekcie:
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

Wymagania:
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

Codzienne zadania:
- 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.