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:
• 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