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
- 7+ years of total software experience with deep proficiency in Python.
- Hands-on experience with GenAI, NLP, prompt engineering, and vector stores.
- Knowledge of web frameworks such as FastAPI, Flask, or Django.
- Familiarity with MLOps practices, Git version control, and containerization
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AI ML Developer with Python
Mphasis
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