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Key Job Responsibilities
As a Software Development Engineer (SDE) in SSMS, you will develop distributed systems powered by LLMs and multi-modal ML models to enhance prompt experimentation, metadata refinement, and catalog enrichment. Build GenAI-driven solutions that improves prompt quality and automation. Design AI-driven workflows for both structured/unstructured data to enhance prompt engineering and LLM evaluation. Partner with scientists and AI experts to integrate cutting-edge advancements in Generative AI, LLM, reinforcement learning, and automation. Develop systems that reduce operational friction and streamline workflow integrations for prompt testing, metadata refinement, and reinforcement learning-based improvements.
Key job responsibilities
As a Software Development Engineer (SDE) in SSMS, you will develop distributed systems powered by LLMs and multi-modal ML models to enhance prompt experimentation, metadata refinement, and catalog enrichment. Build GenAI-driven solutions that improves prompt quality and automation. Design AI-driven workflows for both structured/unstructured data to enhance prompt engineering and LLM evaluation. Partner with scientists and AI experts to integrate cutting-edge advancements in Generative AI, LLM, reinforcement learning, and automation. Develop systems that reduce operational friction and streamline workflow integrations for prompt testing, metadata refinement, and reinforcement learning-based improvements.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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