AI Engineer with Python

What you'll work on

• Current System Architecture: Front-end: Streamlit application. Core: AWS Bedrock Agent.
• Middleware/Gateway: Interacts with AWS Lambda and various MCP tools, connecting to network devices (primarily via Python).
• Databases and AI: Includes RAG (Retrieval Augmented Generation), data indexing, and database querying for data analysis.
• Key Responsibilities: Continue development on the production system, add features, and maintain Python-centric code involving AI workflows and data processing.
• Excellent Python programming
• Familiarity with enterprise DevOps best practices is a plus, but not the main focus
• Network Background: Not mandatory, as network engineering expertise is available in-house. Knowledge is helpful but not required.
• The position is more accurately described as an AI Developer/Engineer" rather than a traditional "DevOps Engineer.
• focus on Python, AI familiarity (especially RAG), ability to adapt, and comfort in an enterprise environment.