AI Engineer

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

As an international player in consulting and technology, Keyrus is committed to making sense of data by revealing its full potential, particularly from a human perspective.

📋 Description

• Build and maintain LLM-powered pipelines for processing and automating customer requests. • Design and implement data ingestion, data preprocessing, and enrichment pipelines for unstructured data sources, including emails, PDFs, images, and documents. • Develop classification, routing, and decision workflows for customer inquiries. • Apply prompt engineering best practices and continuously improve model performance and output quality. • Implement structured outputs and Human-in-the-Loop (HITL) workflows to ensure reliability and business adoption. • Ensure production readiness through testing, CI/CD, containerisation, and monitoring. • Contribute to AI architecture design, scalability, and engineering standards. • Monitor, evaluate, and optimise AI systems using LLM observability tools and performance metrics. • Collaborate closely with engineering, product, and business teams to integrate AI solutions into existing processes and workflows.

🎯 Requirements

• 5+ years of experience in Software Engineering, Data Engineering, AI Engineering, or related fields. • Strong professional experience developing production-grade Python applications. • Proven experience building and maintaining LLM-based solutions and intelligent workflows. • Experience working with unstructured data processing pipelines. • Ability to work independently in multidisciplinary and distributed teams. • Professional proficiency in English. • Strong expertise in: Python; FastAPI; Async programming patterns; REST APIs; and PostgreSQL. • Hands-on experience with OpenAI SDK, LangChain, LangGraph or similar LLM orchestration frameworks. • Strong experience in Prompt Engineering, LLM evaluation, Structured outputs and Human-in-the-Loop workflows. • Solid Data Engineering background, including data pipelines, ingestion, preprocessing and working with unstructured datasets. • Experience with: Docker; CI/CD pipelines; testing practices; and production deployments. • Practical experience using AI-assisted development tools such as GitHub Copilot, Codex, Claude Code, or similar.

🏖️ Benefits

• Meal allowance: €10.20/day • Flexible benefits plan • Private medical insurance • 22 days of annual leave, increasing every 3 years (up to 25 days) • Continuous learning via KLX – Keyrus Learning Experience • A collaborative, international, and human-centred work environment