Join our dynamic team to develop cutting-edge AI capabilities for the Edward Jones AI Pod. This role focuses on leveraging LLM integration, Generative AI, and Agentic AI frameworks within a cloud-native environment. You will be instrumental in building intelligent, AI-powered solutions that drive innovation and enhance our service offerings.

Key responsibilities include designing and developing AI-powered applications using Python and/or Java with React. You'll integrate LLM capabilities through frameworks like LangChain and build robust RAG pipelines and embedding services. Developing REST APIs, microservices, and working with cloud AI platforms are also integral to this role. Furthermore, you will build full-stack features, implement MLOps practices, and ensure AI solutions meet high standards for performance, security, and responsible AI.

We seek engineers with 3+ years of professional experience in Python or Java full-stack development and AI/ML expertise. A strong background of at least 2 years in Generative AI and Agentic AI is essential, alongside a deep understanding of LLMs and RAG architectures. Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), RESTful APIs, microservices, and MLOps is required. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is expected.