AI Platform Engineer | MLOps & Production AI Systems

Keystone Solutions; Brussel; On-site; EUR 90,000 - 130,000; Full time

Job summary

Keystone Solutions is seeking an AI Engineer for a consultancy mission at a client site. You will build, test, and manage AI components, implement agents, retrieval, and model integrations, and support teams with production-ready pipelines and observability.

Responsibilities include CI/CD, MLOps, automated testing, and security-focused production readiness. You will collaborate with data and platform teams and document solutions for reuse across environments.

Qualifications

• Experience as a software engineer, platform engineer, ML engineer, or similar hands-on role (5+ years).
• Strong programming skills, preferably in Python and Java.
• Experience with APIs, authentication, containers, and automated testing.
• Practical knowledge of LLMs, embeddings, retrieval, agents, model APIs, and evaluation methods.
• Experience with CI/CD, Git, infrastructure as code, observability, and cloud or container platforms.
• Attention to security, privacy, documentation, and operational reliability.
• Knowledge of the public sector, G-Cloud, or OISZ context is a plus.

Responsibilities

• Implement AI services, agents, retrieval solutions, and API integrations.
• Build reusable components for model access, prompting, context management, evaluation, logging, cost tracking, and error handling.
• Set up automated testing and evaluation sets for quality, reliability, security, performance, and cost.
• Apply CI/CD and MLOps/LLMOps practices for version control, deployment, configuration, monitoring, and rollback.
• Technically support sandboxes and proofs of concept.
• Prepare AI for production according to architecture, security, and governance requirements.
• Support data and platform teams with privacy-safe test data, data flows, and connections to existing systems.
• Maintain technical documentation, runbooks, and examples so that other teams can reuse solutions.
• Analyze operational issues and implement improvements based on logs, evaluations, feedback, and usage data.

Skills

Python

Java

APIs

Testing

Security

Observability

Cloud concepts

Tools

Git

Infrastructure as Code

Containers

Model APIs

Retrieval systems

Job description

Keystone Solutions is seeking an AI Engineer for a consultancy mission at a client site. You will build, test, and manage AI components, implement agents, retrieval, and model integrations, and support teams with production-ready pipelines and observability.

Responsibilities include CI/CD, MLOps, automated testing, and security-focused production readiness. You will collaborate with data and platform teams and document solutions for reuse across environments.