About this role
Job title: AI Data Structure Engineer
About the Role As an AI Data Structure Engineer, you will contribute to the development of the core engine behind an advanced AI assistant, enabling it to go beyond answering questions and execute customer requests through intelligent, secure and scalable AI workflows. You will design and improve retrieval-augmented generation (RAG) solutions, orchestrate LLM-based applications, and continuously enhance response quality, accuracy and reliability. Working within a regulated environment, you will help build AI capabilities that deliver trustworthy, context-aware and production-ready solutions.
What You'll Do
- Design and improve retrieval-augmented generation (RAG) solutions and orchestrate LLM-based applications to deliver high-quality, production-ready AI workflows.
- Continuously enhance response quality, accuracy and reliability while evaluating AI outputs and retrieval quality.
- Collaborate with cross-functional teams to implement secure, scalable AI capabilities and data pipelines in regulated settings.
What We're Looking For
- Cloud expertise, preferably AWS, with hands-on Infra as Code experience (Terraform, Docker/Container, IAM, Secret Manager, ECS, Encryption) and strong Infra Security, Monitoring and Logging in AWS.
- Build and expose data via REST API; working knowledge with GitHub setup (team workflow, feature branches, pull requests, code review).
- Proficiency writing automated tests (unit and integration) with pytest (mocking, fixtures); familiarity with security scanning and platform performance.
- Ability to think critically about retrieval quality, evaluate AI outputs, and make sound engineering decisions that improve the overall user experience.