AI Engineer at Sabenza IT & Recruitment

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

• Degree

About The Employer