Global Business Ser. 4u
AI Engineer with Python
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with Python, offering a 3-6 month remote contract. Key skills include excellent Python programming, familiarity with AI (especially RAG), and data analysis. Experience with AWS services and database querying is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 17, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Processing #DevOps #Indexing #Streamlit #AI (Artificial Intelligence) #Database Querying #Lambda (AWS Lambda) #Network Engineering #Python #Databases #AWS (Amazon Web Services) #Data Analysis #Programming #AWS Lambda
Role 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.
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.
