AI ML Developer with Python

Mphasis; Berkeley Heights (NJ); Presencial; USD 130.000 - 180.000; Jornada completa

Descripción de la vacante

Mphasis in United States seeks a Python AI Developer to design and deploy AI-powered applications and data pipelines.

You will work on RAG and AI agents using LangChain, integrate LLMs with vector stores and REST APIs, and optimize backend performance on AWS/Azure/GCP with Docker.

Formación

• 7+ years of software experience with deep Python proficiency.
• Hands-on GenAI, NLP, prompt engineering, and vector store expertise.
• Experience with FastAPI, Flask, or Django web frameworks.

Responsabilidades

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

Conocimientos

Python

Generative AI

NLP

Prompt engineering

Vector stores

FastAPI/Flask/Django

Git

Docker

Cloud (AWS/Azure/GCP)

Educación

Bachelor's degree in Computer Science or related field

Herramientas

LangChain

LangGraph

CrewAI

Docker

AWS

Azure

GCP

Descripción del empleo

A Python AI Developer job description requires strong programming skills, Generative AI expertise, and backend API development.

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