Software Engineer II - Python

As a Python Engineer on our Data Science team, you will be at the forefront of our most ambitious technical initiatives. Your role is dual\-purposed: you will build and orchestrate next\-generation **Agentic AI systems** using **AgentCore** and **LangGraph**, and you will act as a **Machine Learning Engineer (MLE)** to productionize the sophisticated models developed by our Data Scientists. We don't just follow industry trends; we aim to set them. You will be expected to be a perpetual student of the field, constantly researching and implementing the newest technologies to ensure our platform remains world\-class. **Minimum Qualifications** * Master's degree in Computer Science, Software Development, Machine Learning, or a related field, OR equivalent professional experience (3\-5\+ years in production\-level engineering). * Expert\-level proficiency in Python with a focus on building distributed, scalable cloud\-native services. * Proven experience in a Data Science or Machine Learning environment, specifically in bridging the gap between research code and production software. **Preferred Qualifications** **Agentic AI \& Orchestration:** * Hands\-on experience with **AgentCore** runtime for building and managing autonomous agents. * Extensive experience using **LangGraph** to create complex, stateful multi\-agent orchestrations with high visibility. * Deep familiarity with **Amazon Bedrock**, OpenAI, or Anthropic APIs and the latest advancements in LLM reasoning. * Experience building and optimizing RAG (Retrieval\-Augmented Generation) pipelines. **Machine Learning Engineering (MLE):** * Proven track record of **productionizing Data Science models**, transforming research\-grade code into high\-performance, scalable APIs (e.g., using FastAPI). * Experience with the full MLOps lifecycle: model deployment, versioning, and performance monitoring. * Familiarity with **Amazon SageMaker** or other cloud\-based ML platforms. **Cloud \& Infrastructure