AI Engineer (Remote, International)

Tasks

• Build conversational interfaces and intelligent automation workflows
• Collaborate with cross functional teams to deliver AI use cases
• Design LLM powered components
• Develop data retrieval and embeddings systems
• Evaluate LLM inference and embeddings performance
• Experiment with AI models frameworks and architectures
• Optimize data infrastructure for scalable LLM usage
• Support production systems with high throughput and low latency

Perks/Benefits

• Access to technical leadership
• Exposure to cutting-edge technology
• Flexible schedule
• High autonomy
• International work environment
• Remote work

Skills/Tech-stack

Containerization | Distributed Systems | Embeddings | Kubernetes | LLM Inference | Machine Learning | NumPy | Pandas | Python | Ranking Models | SQL | Vector Databases