Staff AI Deployment Engineer

Location: Based in Amsterdam, Netherlands, with customer-site travel of approximately 50% during the initial months and lower frequency thereafter; requires collaboration across US and Asia time zones.

Compensation: up to EUR125K per year, plus potential equity participation and bonus or variable compensation.

Company

Develops an AI-powered platform that helps enterprises and governments navigate complex global supply chains and international trade.

What you will do

• Lead end-to-end customer implementations from technical discovery and integration through deployment, adoption, and production support.
• Design, build, and deploy agentic AI workflows and automation solutions.
• Develop integrations using Python, REST APIs, databases, and cloud technologies.
• Act as the primary technical contact for customers, translating business requirements into practical solutions and supporting adoption.
• Troubleshoot, debug, resolve production issues, and contribute to on-call support.
• Collaborate with product, data science, engineering, cloud, and platform teams; take ownership of priorities and guide more junior engineers.

Requirements

• Several years of relevant experience in AI Engineering, Solutions Engineering, Forward Deployed Engineering, or technical implementation, ideally including 5+ years of customer-facing technical delivery.
• Strong hands-on Python programming skills.
• Solid understanding of data structures, SQL, databases, and/or platforms such as Databricks.
• Practical experience building or deploying AI solutions, preferably involving LLMs or agentic AI.
• Experience with AI-assisted coding tools such as Claude Code, Codex, or similar.
• Experience with REST APIs, integrations, and cloud architecture.
• Ability to independently troubleshoot, debug, and solve technical problems.
• Strong communication skills for explaining technical concepts to non-technical stakeholders and vice versa; customer-oriented mindset and interest in combining engineering with customer interaction.
• Highly autonomous and proactive, comfortable taking ownership without constant direction and working with international teams, particularly US-based colleagues.
• Willingness to travel to customer locations and participate in an on-call rotation.

Nice to have

• Background in Solutions Engineering, Forward Deployed Engineering, or Applied AI.
• Experience with Databricks, Spark, or large-scale data processing.
• Familiarity with agentic AI frameworks such as LangChain, MCP, or RAG.
• Experience with AWS, Azure, Docker, or Kubernetes.
• Experience implementing enterprise software solutions.
• Knowledge of global trade, supply chains, or logistics.
• Experience mentoring or guiding other engineers.

Culture & Benefits

• High degree of autonomy, ownership, and technical influence.
• Flexible time-off policy and paid parental leave.
• Opportunity to work with cutting-edge AI technology and international enterprise customers.
• International engineering and implementation environment with daily collaboration across teams and time zones.
• Potential equity participation and bonus or variable compensation.