Associate AI Engineer

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

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

See also

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