Jobs / Korton Computer Communication (KCC) B.V.
AI Platform Engineer
Korton Computer Communication (KCC) B.V. · Nieuw-Vennep, NH, Netherlands
Nieuw-Vennep, NH, NetherlandsExp: 6+ yrsRemote
Remuneration
Market-rate salary based on experience; pension plan; 8% holiday allowance; 25 vacation days with the option to purchase 5 additional days; an extra day off every six months subject to not being sick; company laptop; training and course opportunities; catered lunch, fruit, and snacks; fitness plan; access to Open-Up.
Location
Nieuw-Vennep, NH, Netherlands
Visa sponsorship
Not specified
Job summary
The AI Platform Engineer builds and manages the shared technical foundation that enables AI solutions to run securely, reliably, and consistently across an organization. Responsibilities include developing agent runtime, orchestration, and integration architecture; establishing reusable API, MCP, and A2A standards; and configuring Git, CI/CD, release, and rollback processes. The role also implements tenant isolation and observability, translates local needs into shared platform capabilities, advises on technical standards, and coaches an AI Engineer.
Benefits
Pension plan8% holiday allowance25 vacation days, with the option to purchase 5 additional daysExtra day off every six months subject to not being sickCompany laptopTraining and course opportunitiesCatered lunch, fruit, and snacksFitness planAccess to Open-Up
Qualifications
- Higher professional education (HBO) level of working and thinking
- At least 6 years of relevant software engineering or platform engineering experience
- Strong development skills, preferably full-stack, with experience in production environments and business-critical software
- Experience with cloud platforms, containers, APIs, and distributed systems
- Experience with AI agents, LLM applications, and orchestration
- Knowledge of security, identity, multitenancy, and enterprise governance
- Able to work independently, take technical ownership, and translate complex architecture into clear guidance
Responsibilities
- Develop and manage the central agent runtime, orchestration, and integration architecture
- Design reusable standards for API, MCP, and A2A integrations
- Manage central Git repositories and configure version control, test environments, CI/CD, releases, and rollback
- Implement security and control through tenant isolation, RBAC, secrets management, logging, observability, and evaluations
- Translate departmental needs into shared platform capabilities and advise on what should be centralized or local
- Coach the AI Engineer and share knowledge with colleagues
- Advise on technical standards in coordination with the IT Architect
Skills
GitAWSAzureDockerGCPKubernetesOpenTelemetryPrometheusREST
Relocation
No