AI Engineer: LLMs, Python & MLOps (Hybrid Brussels)

Pauwels Consulting; Brussel; Hybrid; EUR 85,000 - 125,000; Full time

Job summary

Pauwels Consulting is seeking an AI Engineer to develop and manage technical components that enable AI integration across client projects. You will build agents, retrieval solutions, and MLOps pipelines while supporting teams in deploying AI use cases.

Ideal candidates have hands-on software or ML engineering experience, strong Python/Java skills, and practical knowledge of LLMs, embeddings, retrieval, APIs, and CI/CD practices. Hybrid work in Brussels is offered.

Qualifications

• 5+ years hands-on experience as software, platform, or ML Engineer
• Strong programming in Python and Java
• Practical knowledge of LLMs, embeddings, retrieval, and AI agents
• Experience with APIs, authentication, containers, and automated testing
• Expertise in CI/CD, Git, Infrastructure as Code, and observability
• Attention to security, privacy, and reliability standards
• Proactive, solution‑oriented with strong communication and advisory skills
• Active in Dutch and French with passive English knowledge

Responsibilities

• Implement AI services, agents, retrieval solutions, and API integrations.
• Build reusable components for model access, prompting, context management, and logging.
• Establish automated test and evaluation sets for quality, security, performance, and cost management.
• Apply CI/CD and MLOps/LLMOps practices for version control, deployment, and monitoring.
• Provide technical support for sandboxes and proofs of concept to ensure production readiness.
• Collaborate with data and platform teams to ensure secure data flows and system integration.

Skills

Python

Java

LLMs

embeddings

retrieval

AI agents

APIs

authentication

containers

automated testing

CI/CD

Git

Infrastructure as Code

observability

security

privacy

operational reliability

communication

advisory

Dutch

French

English (passive)

Job description

Pauwels Consulting is seeking an AI Engineer to develop and manage technical components that enable AI integration across client projects. You will build agents, retrieval solutions, and MLOps pipelines while supporting teams in deploying AI use cases.

Ideal candidates have hands-on software or ML engineering experience, strong Python/Java skills, and practical knowledge of LLMs, embeddings, retrieval, APIs, and CI/CD practices. Hybrid work in Brussels is offered.