G
AI Summary
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
100% remote
3-6 months contract
AI workflows and data processing using Python
Key Responsibilities
Continue development on the production system
Add features
Maintain Python-centric code involving AI workflows and data processing
Technical Skills Required
Benefits & Perks
100% remote work
3-6 months contract
Nice to Have
Enterprise DevOps best practices
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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