About the job
As an SDE II on this team, you will be at the center of designing, building, and scaling the systems that power this conversational AI experience. You will architect robust backend services, build reliable integrations with large language models (LLMs), develop retrieval-augmented generation (RAG) pipelines, and engineer the feedback loops that allow our system to continuously evaluate and improve itself. You will work alongside applied scientists, product managers, and fellow engineers in a fast-paced, high-ownership environment where your contributions directly shape the product and influence how thousands of internal customers interact with data.
Responsibilities
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
Qualifications
Minimum
Bachelor's degree in Computer Science, Computer Engineering, or related technical field
2+ years of non-internship professional software development experience
Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
Preferred
Master's degree in Computer Science, Computer Engineering, or related technical field
Experience building and scaling production services in distributed systems environments
Experience with large language models (LLMs), retrieval-augmented generation (RAG), or conversational AI systems
Experience with NLP/NLU models, SQL generation, or metadata management systems
Experience with performance analysis, workload optimization, and system observability
Familiarity with AWS technologies and cloud-native development