Ai Ml Developer With Python
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Summary
Mphasis is hiring a Python AI/ML developer in the United States to build AI-driven applications, data pipelines, and microservices. The work centers on Generative AI — RAG, LLM integrations, and agent orchestration with LangChain/LangGraph/CrewAI — deployed via Docker on AWS, Azure, or GCP.
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.
Please make sure you read the following details carefully before making any applications.
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. xzgxqkn
- Knowledge of web frameworks such as FastAPI, Flask, or Django.
Familiarity with MLOps practices, Git version control, and containerization