We’re looking for an enthusiastic AI Engineer to join a forward-thinking global technology environment where you’ll work on real-world AI solutions, experiment with emerging technologies and help turn exciting AI concepts into practical business applications.

This is a fantastic opportunity for someone early in their AI career who wants exposure to Large Language Models, Generative AI, AI Agents and Retrieval-Augmented Generation (RAG) while working alongside experienced AI engineers, architects and business teams.

Requirements

• Foundational knowledge of Large Language Models (LLMs) and how they are used in production.
  
• Experience with prompt engineering and designing prompt workflows and guardrails.
  
• Familiarity with Retrieval-Augmented Generation (RAG) concepts and connecting LLMs to documents/databases.
  
• Basic software development skills (Python preferred) and version control (Git).
  
• Ability to design and execute test plans for AI systems, including quality and latency measurements.
  
• Strong analytical and problem-solving skills with attention to detail.
  
• Clear written and verbal communication skills for working with technical and non-technical stakeholders.
  
• Knowledge of data handling best practices, security awareness, and privacy considerations.
  

• Hands-on experience with agent frameworks such as Copilot, LangGraph, or Semantic Kernel.
  
• Experience implementing RAG pipelines and vector search (e.g., FAISS, Pinecone, Milvus).
  
• Familiarity with evaluation metrics for LLMs (hallucination measurement, relevance, answer quality).
  
• Exposure to cloud platforms and deployment tooling (Azure, AWS, or GCP).
  
• Understanding of MLOps/MLOps-lite practices for model deployment and monitoring.
  
• Experience integrating AI with enterprise applications (SAP, ServiceNow, SharePoint, Teams).
  
• Experience with data engineering basics: ETL, data preprocessing and feature extraction.
  
• Familiarity with automated testing frameworks and CI/CD for AI components.
  

• Postgraduate degree (Master’s or higher) in Computer Science, Engineering, Statistics or a closely related field.
  
• Demonstrable coursework, projects, or internships involving LLMs, NLP or applied ML.
  
• Strong foundational programming skills (Python) and familiarity with AI/ML toolchains and SDKs.
  

Benefits

• Cutting edge global IT system landscape and processes.
  
• Flexible working of 1960 hours in a 12-month period.
  
• High Work-Life balance.
  
• Remote / On-site work location flexibility.
  
• Highly motivating, energetic, and fast-paced working environment.
  
• Modern, state-of-the-art offices.
  
• Dynamic Global Team collaboration.
  
• Application of the Agile Working Model Methodology.