Senior Python AI Engineer — GenAI & API Backends

Mphasis; Sunnyvale (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Mphasis in Sunnyvale, CA is seeking a Python AI Developer to design and build AI-driven applications, data pipelines, and microservices using Python. This role demands deep programming skills and Generative AI expertise to deliver scalable backend solutions.

You will implement Retrieval-Augmented Generation (RAG), orchestrate AI agents with LangChain or similar tools, integrate LLMs with vector stores and REST APIs, and deploy production-ready code via Docker on AWS/GCP/Azure.

Qualifications

• 6+ 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.

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).

Skills

Python

GenAI

NLP

Prompt engineering

Vector stores

MLOps

Git

Cloud platforms

API development

Tools

LangChain

LangGraph

CrewAI

FastAPI

Flask

Django

Docker

AWS

Azure

GCP

Job description

Mphasis in Sunnyvale, CA is seeking a Python AI Developer to design and build AI-driven applications, data pipelines, and microservices using Python. This role demands deep programming skills and Generative AI expertise to deliver scalable backend solutions.

You will implement Retrieval-Augmented Generation (RAG), orchestrate AI agents with LangChain or similar tools, integrate LLMs with vector stores and REST APIs, and deploy production-ready code via Docker on AWS/GCP/Azure.