About the position
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.
RequirementsESSENTIAL SKILLS:
- 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.
ADVANTAGEOUS SKILLS:
- 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.
QUALIFICATIONS/EXPERIENCE:
- 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.
Desired Skills:
- LLMs
- RAG
- Python
- Git
- Test Plans
Desired Qualification Level:
About The Employer:
