TL;DR

Lead AI Engineer (AI): Design, implement, and integrate LLM-powered AI agents into business and customer-facing applications with an accent on AI safety, prompt engineering, and enterprise-grade cloud solutions. Focus on building scalable, secure AI products, collaborating cross-functionally, and advancing AI innovation within supply chain logistics.

Company

%hirify_global% develops Cargoo, a digital supply chain solution providing full transparency and control over logistics from source to market.

What you will do

Design and implement LLM-powered agents for business processes like vendor negotiations and workflow automation
Integrate AI solutions into platforms ensuring scalability and reliability
Leverage Azure OpenAI and cloud AI platforms to build secure enterprise solutions
Establish AI safety guardrails and data security frameworks
Own end-to-end AI product lifecycle including research, development, deployment, and monitoring
Collaborate with product managers, engineers, and stakeholders to identify impactful use cases

Requirements

Proven experience building and deploying LLM applications in production (Azure preferred)
Strong understanding of AI safety, guardrails, prompt engineering, and data security in enterprise environments
Solid Python skills and experience with LLM frameworks/libraries
Experience with cloud platforms, APIs, and microservices architecture
Familiarity with MLOps practices including CI/CD, monitoring, and retraining pipelines
Excellent communication skills and ability to work cross-functionally

Nice to have

Knowledge of logistics, shipping, or supply chain industry challenges

Culture & Benefits

Trial period
Health insurance, snacks, and free parking
Modern city-center office with great tools and collaborative atmosphere
Team events and culture valuing work-life balance

Hiring process

Intro call with %hirify_global%
Culture fit interview with recruiter
Call with CTO and local HR
Home assignment
Office or technical call with CTO