SDE-II, AI Core Infra - AI Analytics and Insights

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Skills you'll use

What you'll do

• - Design and build scalable services that power SpektrBot's conversational AI platform, including query orchestration, context management, session handling, and response generation pipelines
• - Engineer RAG architectures — build and optimize retrievers, vector stores, embedding pipelines, and metadata indexing systems to ensure accurate and contextually relevant data retrieval from our advertising data lake
• - Integrate and operationalize LLMs — build the infrastructure for prompt management, model routing, multi-agent orchestration, and chain-of-thought workflows that enable natural, multi-turn conversations
• - Build automated evaluation and feedback loops — design systems that continuously measure response accuracy, detect regressions, and feed corrections back into the system to drive improvement over time
• - Develop SQL generation and validation pipelines — engineer the end-to-end flow from natural language intent to generated SQL, including guardrails, query validation, and result verification to ensure trusted outputs
• - Build tooling for metadata auto-curation — create LLM-powered tools that automatically enrich, classify, and maintain the metadata catalog that underpins accurate data retrieval
• - Collaborate with applied scientists to productionize NLP/NLU models and integrate them into the bot's overall architecture
• - Own systems end-to-end — from design through deployment, monitoring, alarming, and operational excellence in a production environment serving internal customers at scale
• A day in the life
• You might start by reviewing your automated evaluation dashboard, investigating a flagged drop in SQL generation accuracy and shipping a fix. After lunch, you pair with an applied scientist to integrate a new intent classification model into the orchestration layer, ensuring graceful fallback behavior. Later, you lead a design review for a multi-agent architecture that breaks complex user questions into parallel sub-queries. You end the day improving prompt templates based on user feedback patterns. Every day brings a different problem, but the thread is always building AI-powered systems that are accurate, reliable, and delightful to use.

Who can apply

• - 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
• - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• - 1+ years of Object Oriented Design experience
• - Experience programming with at least one software programming language

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