GenAI Backend Engineer - Python & LLM Systems

Mphasis; San Francisco (CA); On-site; USD 170,000 - 210,000; Full time

Job summary

Mphasis is seeking a Python AI Developer in San Francisco to design and build AI-driven applications, data pipelines, and microservices using Python. You will implement RAG and orchestrate AI agents via LangChain, LangGraph, or CrewAI, and integrate LLMs with vector databases and REST APIs.

The role requires 7+ years of software experience with deep Python expertise, GenAI/NLP, and experience with FastAPI/Flask/Django.

Qualifications

• 7+ years software experience with strong Python.
• GenAI, NLP, prompt engineering, and vector stores experience.
• Proficiency with web frameworks such as FastAPI, Flask, or Django.
• Familiarity with MLOps, 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 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.

Skills

Python

GenAI

NLP

Prompt engineering

Vector stores

FastAPI

Flask

Django

MLOps

Git

Containerization

Tools

LangChain

LangGraph

CrewAI

Docker

AWS

Azure

GCP

Job description

Mphasis is seeking a Python AI Developer in San Francisco to design and build AI-driven applications, data pipelines, and microservices using Python. You will implement RAG and orchestrate AI agents via LangChain, LangGraph, or CrewAI, and integrate LLMs with vector databases and REST APIs.

The role requires 7+ years of software experience with deep Python expertise, GenAI/NLP, and experience with FastAPI/Flask/Django.