4+ years of professional software engineering experience + 3+ years of hands-on experience building production backend services, APIs, data products, or AI-enabled applications + 3+ years in roles demonstrating Strong programming skills in **Python, Kotlin, or Java** + 2+ years Practical experience using LLM APIs or building GenAI-enabled applications + 2+ years in roles demonstrating Familiarity with prompt engineering, RAG, tool calling, function calling, or structured model outputs + 2+ years comfortable working years of experience with SQL and structured data + 2+ years of Experience deploying or operating software in a cloud environment, preferably **GCP** + 2+ years of experience in roles requiring a Strong understanding of testing, monitoring, reliability, and maintainable software design Preferred + 1+ years of experience in roles demonstrating the Ability to collaborate with product managers, engineers, data teams, and business stakeholders. In this role, you will: + Ship production GenAI features that improve customer workflows + Build reliable patterns for LLM integration, tool use, evaluation, and observability + Improve the accuracy, latency, cost, and trustworthiness of AI-enabled systems + Help teams move from prototypes to maintainable production services + Partner across engineering, product, data, security, and business teams + Contribute to responsible AI practices in an enterprise software environment Design and improve LLM-based systems that can interpret user intent, retrieve context, call tools, interact with APIs, and coordinate multi-step workflows.