Proven experience building and shipping AI-powered features or products in a production environment
Deep understanding of LLMs and AI models, including their strengths, limitations, and integration strategies
Experience working with orchestration frameworks and integrating multiple AI models to deliver cohesive user experiences
Experience developing evaluation frameworks and metrics for AI features, with a focus on user impact and business value
Familiarity with AI privacy, security, and compliance best practices
5+ years of backend and/or full-stack engineering experience, with proficiency in Python, JavaScript/TypeScript, or similar languages
5+ years of experience with PostgresDB, MySQL, or other related DBs
5+ years of experience with Elasticsearch or other related technologies
Experience setting up production-ready observability and logging
Demonstrated ability to collaborate cross-functionally and translate product requirements into technical solutions
Passion for staying updated with the latest AI research and applying it to solve real-world user problems
Excellent communication and mentorship skills, with a track record of influencing product direction and engineering best practices
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