AI Engineer With Python

Akaasa Technologies; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

Akaasa Technologies is seeking an AI Engineer with Python to develop and integrate AI workflows into our network-facing platform. The role centers on Python-first development, with a Streamlit frontend, and back-end work on AWS Bedrock and Lambda.

You will extend production systems, implement RAG data indexing and data queries, and collaborate with in-house DevOps. Practical Python expertise and a proactive approach to building scalable AI solutions are essential.

Qualifications

• Strong Python background for AI development and integration with network devices.
• Experience with AI workflows and data processing.
• Familiarity with Retrieval Augmented Generation (RAG) and data indexing for data analysis.
• Knowledge of enterprise DevOps practices is a plus but not essential.

Responsibilities

• Continue development on the production system and add features.
• Maintain Python-centric code involving AI workflows and data processing.
• Integrate AI capabilities with back-end services and network devices.

Skills

Python programming

AI development

Data processing

RAG

Tools

Streamlit

AWS Bedrock

AWS Lambda

Job description

POSITION

AI Engineer with Python

REQUIRED SKILL

• • looking for an AI developer/engineer with a strong Python background. The position is focused on developing with Python, using AI tools, and integrating with network devices.
  • 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.