• Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI • Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams • Work with OLTP databases, including schema design, migration strategies, and performance optimization • Integrate SmartAsset services with internal and external APIs, including third-party platforms and existing AWS infrastructure • Ensure secure ingress and egress of data within our private network environments • Contribute to the design and implementation of our CI/CD pipelines to ensure continual improvements to our cycle time • Manage and optimize AWS services, including IAM roles and policies • Gain a deep understanding of how our Python applications integrate with our Kubernetes (EKS) and future ECS-based infrastructure • Operate and maintain production applications at scale, ensuring high availability, performance, and reliability • Design and implement data collection pipelines specifically for Large Language Models (LLMs) • Contributed to shared data architecture and data governance practices to ensure the persistence of structured data suitable for analytics and model training • Explore, integrate, and tune various LLM-related technologies, such as Retrieval Augmented Generation (RAG) systems, and addressing potential scaling challenges • Investigate and implement agentic technologies, such as tool calling frameworks (e.g., AutoGen), to enhance LLM capabilities • Rapidly prototype user interfaces for internal tools and data exploration, leveraging frameworks like Streamlit, Gradio, or other similar tools that facilitate quick iteration and integration without persistent websockets