Job Description

What You Will Do

Architect Multi-Agent Systems: Design, build, and orchestrate complex agentic workflows using LangGraph and LangChain to handle sophisticated financial queries.

Engineer Robust Tool Interfaces: Develop and maintain reliable tool definitions for interacting with complex internal APIs, ensuring the AI can accurately parse, validate, and utilize financial data.

Implement Advanced RAG: Build and optimize Retrieval-Augmented Generation systems to ground model responses in proprietary data.

Drive Structured Output Generation: Ensure AI responses are structured for rich UI rendering, enabling the generation of dynamic graphs, charts, and interactive elements.

Establish Evaluation Pipelines: Create rigorous testing frameworks and metrics to evaluate agent performance, reliability, and accuracy in a production environment.

What You Bring

5+ years of experience as Data Scientist, or 2+ as a Gen AI Application Developer.

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