Develop AI workflows and data processing using Python. Focus on enterprise environment and RAG (Retrieval Augmented Generation). Continue development on production system and add features.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
3-6 Months Contract to hire
100% Remote
Job Description
- 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.
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