Cloud AI Application Administrator

Python Developer Onsite role | Phoenix, AZ Responsibilities :

• Contribute to the design and implementation of LLM-powered and agentic product features.
• Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers.
• Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety.
• Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling.
• Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance.
• Collaborate closely with product and design partners, learning to translate customer needs into technical solutions.

Technical Environment

• Languages: Python
• Cloud and infrastructure: AWS and/or Google Cloud Platform, Kubernetes
• APIs and services: REST, gRPC
• Distributed systems: event-driven architectures, including Kafka
• Agentic AI and ML Commercial and open-source LLMs integrated into agentic workflows
• Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation
• Schema validation and structured data handling
• AI-assisted development Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring
• Learning how to apply these tools responsibly while maintaining production-quality standards
• All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.

• Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects.
• Internship or early-career experience in fintech or other regulated environments.
• Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling.