Join our AI Pod to develop cutting-edge, AI-powered capabilities. This role focuses on integrating Large Language Models (LLMs), building Generative AI features, and implementing Agentic AI frameworks within a cloud-native environment. You'll be instrumental in advancing intelligent solutions for Edward Jones.

Design and develop AI-driven applications leveraging Python, Java, and React. Integrate advanced LLM functionalities using frameworks like LangChain, LlamaIndex, or LangGraph. Construct RAG pipelines, embed services, and vector search solutions. Create robust REST APIs and microservices with FastAPI, Flask, or Spring Boot. Utilize cloud AI platforms such as Azure OpenAI, AWS Bedrock, and Google Vertex AI. Implement full-stack features on the frontend using React as needed. Apply MLOps principles and CI/CD pipelines for efficient AI model deployment. Ensure AI solutions adhere to high standards of performance, security, and responsible AI practices.

A minimum of 3 years of professional experience in Python or Java full-stack development. At least 3 years of experience in AI/ML, including TensorFlow, PyTorch, or Keras. 2+ years of hands-on experience with Generative AI and Agentic AI concepts and tools. Solid understanding of LLMs, prompt engineering techniques, and RAG architectures. 2+ years of experience with major cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes. Proficiency in RESTful APIs, microservices, and event-driven architectural patterns. Familiarity with MLOps tools and CI/CD pipelines. A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field is required.