● Degree in computer science, artificial intelligence, a related field, or relevant prior experience;
● 4+ years of software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience;
● Affinity with data analysis;
● Pre-existing knowledge or experience with Elasticsearch;
● Interest in NLP and machine learning;
● Interest in prompt engineering, RAGs and genAI in general;
● A natural interest in digital media products.
Technologies:
● AWS, Kafka, Elasticsearch, Python (FastAPI), SQL, Docker;
● Nice to have: vector databases, semantic search.