Artificial intelligence engineer

Core Technical Requirements
Backend & API Development
- Expert-level proficiency in modern API frameworks (Fast API, Django, Flask)
- Experience building robust, scalable backend services for AI/ML applications
- Understanding of API rate limiting, caching strategies, and performance optimization
- Knowledge of microservices architecture and event-driven design patterns
Foundation Models & LLM Integration
- Hands-on experience integrating commercial LLM APIs (Open AI, Anthropic, Google, Azure Open AI, etc.)
- Understanding of prompt engineering techniques and best practices
- Experience with model selection, evaluation, and performance monitoring
- Knowledge of token management, cost optimization, and response streaming
Open Source AI/ML
- Experience deploying and fine-tuning open source models (Llama, Mistral, etc.)
- Familiarity with model hosting solutions (Databricks serving, Hugging Face, Ollama, v LLM, or similar)
- Understanding of model...