Software Database Engineer 2
1 week ago
Location - Redmond WA 98052
Overview
Join us in building a transformative research knowledge reasoning platform powered by cutting-edge reasoning techniques and large language models (LLMs). Our agile and independent team is revolutionizing and democratizing data analysis by turning complex, time-consuming text reasoning tasks into efficient, transparent, and trustable processes.
You will help design and deliver the next generation platform that:
- Represents and executes transparent research reasoning processes by defining reasoning operations, runtimes, Client data structures, and high-level reasoning programs.
- Fine-tunes LLMs on these reasoning programs to create advanced planning agents.
- Builds and deploys large-scale indexes using NoSQL, graph, and ML vector databases to store and track both human-authored and LLM-generated research insights.
- Develops Client UIs combining chat-based agents with interactive data interfaces integrated into Microsoft Graph, Copilot, Teams, Office apps, Figma, and engineering tools.
Key Responsibilities
- Collaborate with PMs, researchers, architects, and technical leads to understand and refine AI system requirements and research reasoning capabilities.
- Incorporate customer feedback into design iterations and technical solutions.
- Develop, optimize, and review code for extensibility, maintainability, and adherence to best practices.
- Integrate telemetry systems to monitor AI performance, reliability, and behavior.
- Leverage performance data to improve engineering decisions and product quality.
- Bachelor's degree in Computer Science or a related technical discipline.
- 2+ years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python.
- Experience with large-scale systems development and support, ideally in Azure and .NET environments.
- 1+ years of experience building and deploying at least one of the following:
- LLM application development
- Retrieval Augmented Generation (RAG) systems
- Expertise in designing and implementing LLM evaluation frameworks (LLM Evals).
- Hands-on experience with graph databases and NoSQL solutions.
- Proven ability to deploy, manage, and scale infrastructure on Microsoft Azure.
- Strong track record of cross-disciplinary collaboration
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