What you will do

Lead AI Engineer

As our Lead AI Engineer, you will design, implement, and integrate AI agents powered by large language models (LLMs) into both internal business applications and customer-facing products. You will take full ownership of the AI product lifecycle - from ideation and prototyping, to production deployment, monitoring, and optimization.

This is an individual-contributor role with a high level of autonomy. As our AI function grows, there will be opportunities to influence strategy, best practices, and potentially shape a future team.

Responsibilities:

• Design and implement LLM-powered agents that support business processes such as vendor negotiations and workflow automation.
• Integrate AI solutions into Cargoo’s platforms and services, ensuring scalability and reliability.
• Leverage Azure OpenAI and other cloud-based AI platforms to build secure, enterprise-grade solutions.
• Establish guardrails and data security frameworks to ensure compliance and responsible AI use.
• Own the end-to-end AI product lifecycle: research, prototyping, development, deployment, monitoring, and continuous improvement.
• Collaborate with product managers, engineers, and stakeholders to identify high-impact use cases.
• Stay up to date with the evolving AI/LLM ecosystem and proactively bring innovation into Cargoo’s technology stack.

What we offer

What We Offer:

• The opportunity to lead AI innovation at a fast-growing tech company in logistics.
• A chance to shape the foundation of our AI strategy and ecosystem.
• Autonomy, ownership, and a role with significant impact on both internal operations and customer experience.

Why you’ll love it here:

• Build real-world tech that moves global trade forward.
• Work with skilled teammates who love solving complex problems.
• Enjoy autonomy, trust and the freedom to take initiative, share ideas and innovate.
• Keep growing through mentoring, training and hands-on learning.
• Enjoy Stebby perks or health insurance, snacks and free parking.
• Work in a modern city-centre office with great tools and a collaborative atmosphere.
• Join fun team events and a culture that values balance.

Requirements

Requirements:

• Proven experience in building and deploying LLM applications in production (Azure experience preferred).
• Strong understanding of AI safety, guardrails, prompt engineering, and data security in enterprise environments.
• Solid background in Python and common frameworks/libraries for working with LLMs.
• Experience with cloud platforms, APIs, and microservices architecture.
• Familiarity with MLOps practices (CI/CD for ML, monitoring, observability, retraining pipelines).
• Strong problem-solving skills and ability to translate complex business problems into technical AI solutions.
• Excellent communication skills and ability to work cross-functionally.
• Knowledge of logistics, shipping, or supply chain industry challenges is preferred but not mandatory.