AI Developer with Python

Mphasis
Berkeley Heights, United States
14 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Computer Programming Django Web Framework Python (Programming Language) Web Application Frameworks Google Cloud Flask (Web Framework) Large Language Models Prompt Engineering
+15 more
Generative AI Backend Git Fastapi Build Management Containerization Production Code Machine Learning Operations Virtual Agents Restful APIs GPT Data Pipelines Docker Web Api Microservices

Job description

A Python AI Developer requires strong programming skills, Generative AI expertise, and backend API development. Key requirements typically include Python proficiency, LLM frameworks, and cloud deployment., * 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, Google Cloud Platform).

Requirements

  • 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

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:12 min

Building intelligent applications and enhancing developer productivity experiences

Alexander Wallner Alexander Wallner +3 · World Congress 2024

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · World Congress 2024

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

51 sec

Assessing GPT-4o performance for pull request feedback

Merrill Lutsky Merrill Lutsky · World Congress 2025

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