Our partner is a digital supply chain solution that provides full transparency from source to market. It facilitates communication, data sharing, and execution, across your whole network, giving you greater control of logistics from start to finish. They seamlessly execute your supply chain plan, anticipates disruptions proactively, reduces manual work, and gives you constant access to performance data, so you can work smarter, not harder.

Now the company is looking for a Lead AI Engineer to design, implement, and integrate AI agents powered by large language models (LLMs) into both internal business applications and customer-facing products

Tasks:

• Design and implement LLM-powered agents that support business processes such as vendor negotiations and workflow automation
• Integrate AI solutions into the company’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 the technology stack

Must-have:

• 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

Nice-to-have:

• Knowledge of logistics, shipping, or supply chain industry challenges 

Benefits and conditions:

• Trial period: 4 months
• Stebby perks or health insurance, snacks and free parking 
• Work in a modern city-center office with great tools and a collaborative atmosphere
• Team events and a culture that values balance 

Interview process:

1. Intro call with Toughbyte
2. Culture fit interview with the company's recruiter 
3. A call with the CTO and local HR
4. Home assignment 
5. A meeting in the office or a technical call with the CTO