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:
- 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.
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.
