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AI Developer (Python) - Consumer Discretionary

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Develops AI-driven applications, data pipelines, and microservices using Python, LLMs, and cloud platforms. Focuses on RAG, AI agent orchestration, and backend optimization. Requires 3+ years of Python experience with GenAI, NLP, and MLOps knowledge.

Key Highlights
3+ years of Python experience required
Focus on GenAI, NLP, and vector stores
Cloud deployment (AWS/Azure/GCP) and Docker
Key Responsibilities
Design and build AI-driven applications, data pipelines, and microservices using Python
Implement RAG and orchestrate AI agents with tools like LangChain/LangGraph/CrewAI
Integrate LLMs with enterprise vector databases and external APIs
Optimize backend performance and deploy production-ready code via Docker and cloud platforms
Technical Skills Required
Python Generative AI/ML Cloud Platforms (AWS/Azure/GCP)

Job Description

A Python AI Developer job description requires strong programming skills, Generative AI expertise, and backend API development. Key requirements typically include Python proficiency, LLM frameworks, and cloud deployment.

Key Responsibilities:

  • Design and build AI-driven applications, data pipelines, and microservices using Python.
  • Implement Retrieval-Augmented Generation (RAG) and orchestrate AI agents using tools like LangChain, LangGraph, or CrewAI.
  • Integrate Large Language Models (LLMs) with enterprise vector databases and external REST APIs.
  • Optimize backend performance and deploy production-ready code via Docker and cloud platforms (AWS, Azure, GCP).

Required Skills:

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