AI Platform Engineer: LLMs, MLOps & Production Readiness

Keystone Solutions; Brussel Hoofdstad; On-site; EUR 70,000 - 100,000; Full time

Job summary

Keystone Solutions seeks an AI Engineer to work at a client site, building and maintaining AI components, integrating models, and ensuring end-to-end operability. You will implement agents, retrievals, pipelines and observability, while aligning with security and governance standards.

You will collaborate with data and platform teams to enable production readiness, runbooks, and reusable solutions, with strong focus on reliability and cost management.

Qualifications

• 5+ years hands-on software/ML engineering experience.
• Strong Python and Java programming skills.
• APIs, containers, and automated testing knowledge.
• Knowledge of LLMs, embeddings, retrieval, agents, model APIs and evaluation methods.
• CI/CD, Git, infrastructure as code, observability, and cloud platforms.
• Attention to security, privacy, documentation and operational reliability.
• Knowledge of the public sector (G-Cloud/OISZ) 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.
• 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

AI engineering

DevOps & platforms

Hands-on engineering

Programming & integration

Security & reliability

Job description

Keystone Solutions seeks an AI Engineer to work at a client site, building and maintaining AI components, integrating models, and ensuring end-to-end operability. You will implement agents, retrievals, pipelines and observability, while aligning with security and governance standards.

You will collaborate with data and platform teams to enable production readiness, runbooks, and reusable solutions, with strong focus on reliability and cost management.