Responsibilities Our Software Engineers work closely with Product Managers, Test Engineers and others to do the following:  Create product led AI using Python, celery, thread pools, Docker, FastAPI, LangChain, LangGraph, Bedrock, Guardrails, and other technologies  Help define, create and maintain the data structures required to feed these services including SQL, document stores, key-value, and RAG databases  Participate in design reviews and technical discussions, contributing informed opinions  Ensure code quality through automated testing and code reviews  Design, build and deliver solutions that will meet business objectives and customer needs  Help define and execute standards and practices that enable our development teams to work effectively as possible  Contribute to an environment that attracts, empowers and retains technical people Applying candidates must have each of the following:  3+ Years of Python development experience  Developed AI using Python, Docker, and Git  Basic prompt engineering  Delivered production ready code using Python  Experienced with software development lifecycle, git-based workflows, and code reviews  Comfortable with continuous deployment  Understanding of maintaining customer trust with responsible AI solutions  Collaboration with business users to gather/document requirements  Ability to communicate complex technical concepts  Basic understanding of developing right sized micro-services Strong candidates would have experience with some of the following:  Deep Python knowledge  Experience with AI development in production such as Lang Chain, Lang Graph, LLMs, SageMaker, Pytorch, Tensorflow  Built agents using Lang Chain / Graph  RAG creation and maintenance  SQL and no SQL databases such as RDS/Aurora, Redis, Dynamo, S3  Experience with queues such as Kafka.  Experience streaming API responses using SSE