Job Summary
In this role, you will take ownership of the architecture for multi-agent AI systems, crafting workflows that enable specialized agents to collaboratively address intricate financial and benefits inquiries. Your responsibilities will include developing robust evaluation frameworks and retrieval processes, ensuring that AI-generated outputs are accurate, safe, and easily interpretable.
Responsibilities
- Design and implement workflows for multi-agent AI systems to respond to complex queries.
- Establish evaluation mechanisms to assess the performance of AI outputs.
- Develop retrieval pipelines that enhance the accessibility and reliability of information.
- Ensure the safety and transparency of AI responses through rigorous testing and oversight.
Qualifications
- Demonstrated experience in deploying agentic AI solutions in production environments.
- Deep technical knowledge of orchestration and state management systems.
- Expertise in Retrieval-Augmented Generation (RAG) systems.
- Proficiency in Python programming language.
- Comfortable working across the entire software stack for AI solutions.
- Strong emphasis on delivering reliable, testable, and scalable AI applications.
