AI / ML Engineer (LLM applications)

About RMT Labs

RMT Labs SA is a Luxembourg-based research and technology company building the future of hiring in Europe. We operate two complementary brands: Talent Quanta, a profitable recruitment and ICT-consulting business serving clients across Europe since 2022, and Skillbourg, an AI-powered talent platform born from that real-world recruitment intelligence.

About the role

As an AI / ML Engineer in our Data & AI team, you will build and ship LLM applications for clients, from retrieval-augmented generation to agentic workflows. You will work close to our own AI research and products, and you will take solutions from prototype to secure, reliable production systems.

What you will do

• Design and build retrieval-augmented generation (RAG) and agentic AI applications

• Choose and evaluate models, prompts and retrieval strategies for each use case

• Build evaluation pipelines to measure quality, safety and cost

• Deploy LLM applications to production with proper monitoring and guardrails

• Work with clients to turn business problems into AI solutions

• Share knowledge and help shape our AI engineering practices

What you bring

• 5+ years of software or ML engineering experience, including hands-on work with LLMs

• Strong Python skills

• Experience with LLM APIs and frameworks such as LangChain, LlamaIndex or similar

• Experience with vector databases and search

• Experience deploying applications on cloud platforms with Docker

• A pragmatic mindset: you care about results, quality and security in production

Nice to have

• Experience with open-source models and fine-tuning

• Knowledge of the EU AI Act and responsible AI practices

• Experience with Azure OpenAI, AWS Bedrock or similar services

• Previous work in banking or public sector

Skills we're looking for

Technical skills

• Large Language Models
• Machine Learning Engineering
• Python
• LangChain
• LlamaIndex

Interpersonal skills

• Cross-Functional Collaboration
• Stakeholder Management
• Creative Problem Solving
• Knowledge Sharing
• Business Acumen