3+ years of experience in backend software development with a focus on Node.js, building scalable and production-grade systems
Hands-on experience with AI applications, including LLM implementations, retrieval-augmented generation, prompt optimization, and fine-tuning methodologies
Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production
Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices
Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval
Familiarity with Python for collaborating on machine learning workflows and integrating Python-based AI tools is preferred