AI Engineer

Mission Overview

We are seeking an AI Engineer for a consultancy mission at a client site representing Keystone Solutions. In this role, you will build, test, and manage the technical components that make AI applicable within the organization. You will be responsible for implementing agents, retrieval solutions, model integrations, pipelines, observability, and platform building blocks, while supporting teams in applying these in concrete use cases.

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.

Technical Competencies

• 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.

Generic Competencies

• Innovation: You keep up with the latest trends and experiment with innovative AI technologies.
• Problem-solving: You analyze complex issues and translate them into pragmatic solutions.
• Collaboration: You work smoothly with colleagues from various disciplines (IT, business, security, architecture).
• Communication: You can clearly explain technical concepts to both technical and non-technical stakeholders.
• Advising: You excel in structuring, visualizing, advising, and guiding multidisciplinary decision-making.
• Result-oriented: You monitor deadlines and ensure quality deliverables.

Selection Process

Please attach a document of no more than 2 pages to your application outlining your vision on how the Federal Pension Service can leverage artificial intelligence to create concrete value for its pension services and internal operations. Emphasize the technological implementation and the contribution you can make as an AI Engineer in designing, developing, and implementing usable AI solutions.

After receiving the CVs, they will be analyzed, and a shortlist of 3-5 candidates will be created based on the criteria defined in the ProUnity contract. These candidates will then be invited for an interview where their technical and generic competencies, as well as their language skills, will be evaluated. A ranking will be established afterward.

Why Join Keystone Solutions

As a consultant at Keystone Solutions, you will engage in dynamic projects that offer a variety of challenges across different client environments. You will experience turbo-charged learning opportunities that will enhance your professional development and broaden your skill set. We are committed to your career growth within our framework, and being a

Duration: 14/12/2026 - 13/12/2027 12 months • (full time)

Skills required

• AI-engineering: praktische kennis van LLM’s, embeddings, retrieval, agents, model-API’s en evaluatieJunior
• DevOps & platformen: ervaring met CI/CD, Git, infrastructure as code, observability en cloud- of conJunior
• Hands-on engineering: ervaring als software engineer, platform engineer, ML engineer of in een vergeErvaren
• Programmeren & integratie: sterke programmeervaardigheden, bij voorkeur Python en Java, en ervaringErvaren
• Security & betrouwbaarheid: aandacht voor security, privacy, documentatie en operationele betrouwbaaJunior

Language requirements

• NederlandsActieve kennis
• EngelsPassieve kennis
• FransActieve kennis