As an AI Engineer, you will build the systems behind Baz's review agents, combining applied LLM work with backend engineering. Develop and optimize backend systems that use frontier LLMs to generate insights on complex codebases and code diffs. Design and implement data pipelines and data models to process large-scale datasets. Develop algorithms and apply graph theory to analyze code relationships, dependencies, and interactions in production environments. Build tools that automatically summarize and interpret complex code structures. Establish a data-driven testing framework to analyze code changes, validate improvements, and measure system reliability. Stay updated with advancements in AI, backend development, and algorithmic methodologies, applying relevant innovations to our platform. 5+ years of experience as a backend engineer, with strong expertise in Python. Proven experience in data engineering, including pipeline development and data modeling. Experience integrating LLMs or other advanced AI models into backend systems. Track record of developing and deploying SaaS applications. Solid understanding of backend architecture, data engineering fundamentals, and software design best practices. Proficiency with relational databases (PostgreSQL, MySQL). Familiarity with cloud environments (AWS, GCP, Azure) and associated data and AI services. Advanced degree (B.Sc./M.Sc.) in Computer Science or Electrical Engineering from a leading university. Excellent analytical and problem-solving skills. Strong communication abilities and aptitude for collaborative, cross-functional teamwork. Enthusiasm for continuous learning and keeping current with emerging technologies and trends.
