AI ML Developer with Python
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Summary
Builds AI-driven applications, data pipelines, and microservices in Python — implementing RAG and AI agents with frameworks like LangChain, LangGraph, or CrewAI, integrating LLMs with vector databases and REST APIs, and deploying via Docker and cloud platforms. Requires 7+ years of software experience.
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. xavwley
- Knowledge of web frameworks such as FastAPI, Flask, or Django.
Familiarity with MLOps practices, Git version control, and containerization